20. Predicting and Postponing Menopause

Kiran Kumar is the CEO of Timeless Biotech, a reproductive longevity company that has prototyped the first-ever time-to-menopause predicting algorithm. And with this she’s created the MenoTime Predictor, an at home test kit that collects a simple blood sample that delivers you actionable results. 

A seasoned digital marketer and biotechnology engineer from UC San Diego, Kiran brings a unique blend of scientific rigor and brand-building expertise to the longevity space. Her work sits at the intersection of biohacking, longevity, and machine learning, with a strong focus on translating cutting-edge biotech into consumer-facing solutions.

https://www.timelessbiotech.com/

Episode Transcript

(00:24):
This is Healthcare Uprising.
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in American healthcare. In the
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that can help others navigate the
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(00:46):
Welcome to the uprising.
We are not doctors and we don't play one
on TV. If you need medical advice,
consult with your physician or a health
care professional.
All right. Hello, health heads.

(01:06):
Welcome and thank you for checking into
this dose of the healthcare uprising. I'm
your producer in the back, Jeremy Carr,
here with your host in the front row,
Heather Pierce. So what's on our agenda
for today, Heather? So today we are
meeting with Kiran Kumar, who is the CEO
of Timeless Biotech. That is a
reproductive longevity company that has
prototyped the first ever time to

(01:28):
menopause predicting algorithm.
So with this she's created the Meno Time
Predictor. It's an at home task kit that
collects a simple blood sample and it
delivers you actionable results through
an app on your phone. So Kiran
is a seasoned digital marketer and
biotechnology engineer from University of
California, San Diego. And brings a

(01:50):
unique blend of scientific rigor and
brand building expertise to the longevity
space. Her work sits at the intersection
of bio hacking, longevity and machine
learning with a strong focus on
translating cutting edge biotech into
consumer facing solutions just
like the Meadow time predictor. So it's
pretty wild actually predicting menopause

(02:12):
and UC San Diego, isn't that the sea
slugs? I love that mascot. But
anywho, without further ado. Here's our
conversation with Kiran Kumar from
Timeless Biotech.
We have Kiran with us here today. Thanks
and welcome to the show. Thanks, Heather.

(02:33):
I'm really excited to be here. Great.
So we're going to just jump right into
this conversation today and talk
about you and your background
and kind of what brought you to
bring. Timeless biotech to the universe
and just maybe share some of the origin
story, you know, maybe the inspiration
behind it. We always love to hear the

(02:54):
personal stories that always bring these
companies to life. So the
the mic is yours. Yeah.
So definitely a loaded question. Lots of
different things brought me to yeah,
where I am today. um But
it started with really my background. I
have a background in bioengineering,

(03:15):
biotechnology engineering from UC San
Diego, and I started to gain
more and more of an affinity for the
applications of machine learning into
healthcare, just because like there's a
lot of bioinformatics that we cover. I
was a part of projects that use like
machine learning to improve the accuracy
of leukemia diagnosis. So that's really
where I started toExplore that area

(03:38):
and I've always been
an ally for in Women's Health and
women's like issues in general.
So just the.
natural affinity towards women's health
from like these bioinformatic
applications and longevity sciences as I
started to do more and more work in like

(03:59):
the digital marketing space. Like I
worked with Foxo Technologies,
which was like a longevity company,
Timeline Nutrition,
and also like companies like OneSkin. So
that intersection of longevity
sciences, bioinformatics, you know,
machine learning technologies,And just my

(04:19):
interest in women's health led me to this
like convergence of like developing tools
that are focused on reproductive
longevity, you know, and eventually
predicting time to menopause with our
tool. Great. Yeah, that is a,
you've done quite a bit. You've seen the
world a bit. It's, you
know, it just happens organically. I I

(04:40):
feel like most people feel the same way,
that these things just naturally fall
into place. Yeah, yeah. And Women's
Health is obviously huge. We're very,
very heavily leaning into Women's Health
here on the uprising. I'm also
equally passionate about Women's Health
and we are definitely having our moment.
And menopause is is in

(05:02):
like I like to reference the Midi Health.
Menopause is hot that their CEO
always has her great T-shirt on. I want
one of those. And so I love that
Timeless Biotech is focusing in that
menopause space. I'm in perimenopause, so
I like to talk about it. So I am,
I'm not too too afraid to

(05:23):
to scream it from the mountaintop. So
yeah, so tell us about Timeless Biotech.
So like what are you doing like kind of
you obviously give us some great
background of kind of that intersection
of your your professional life and
everything too. To work in this space,
she doesn't tell me anything ahead of
time, so I honestly don't even know what
time was by. Yeah, we like to keep him in

(05:44):
suspense so he asks all the best
questions. I am in the dark until the
microphones come off. You know,
that that sounds a lot of like what women
usually expect when they go into
menopause is they're in the dark until
it's actually happening. So this is
really. I didn't know I was a metaphor
for menopause. You are now.
Yeah. So yeah, whether that was

(06:05):
intentional or not, that's honestly kind
of how it works. And that's what we're
trying to change. So women shouldn't have
to guess. Women should know what's coming
in advance. We really consider ourselves
a longevity company like menopause.
Management and if you're if
people are open to it, menopause delay
is actually really closely tied to female

(06:26):
health span. There's so many
chronic illnesses and preventable
illnesses that just really skyrocket in
risk when you go through that transition,
so. When you focus on optimizing
female health, optimizing female
longevity, health span, you you can't
ignore menopause. You have to focus on

(06:46):
that phase. You have to know when it's
coming so that you can be ready for
management. You can be ready to manage
it, because currently it takes a lot of
time for you to gain access to that
diagnosis and prediction. Yes,
it does. Yeah And you have to know when
it's coming. You have to know when it's
coming in order to do that. So that's
what led to the birth of timeless
biotech, which is all about female

(07:09):
longevity and creating machine learning
tools that can provide
objective insights into
your health and for like predictive
care and like just
connection to care, like providing tools
that can assist with connecting you to
care. And that'swhy we're the home to
home to the first ever time to menopause

(07:30):
predicting algorithm. So we
have prototyped and have a patent pending
out on MenoTime. So it just
requires one blood test and you can get
your predicted time to menopause. And we
found that women are really excited for
this tool and it can help them eventually
gain access to adequate care and
live longer, healthier. Yeah,

(07:53):
that's amazing. That's pretty cool. Yeah.
I wish I had it. So I have been learning
a lot about menopause since this podcast
started. Yes. He's going to be the
menopause king. Does this help with
perimenopause? Does it predict
that as well and like, let you know, like
when that's going to end and you're going

(08:13):
to full on be meant go into full on
menopause from there?Yeah. So that's a
very good question and that's a very
clinically meaningful question because
the advice for women is to
lookout for those symptoms of
perimenopause and that's when they should
be connecting to treatment. So I.
that's That's the next step in our tool
is to integrate that time to

(08:34):
perimenopause prediction as well. And
also when we give women this predicted
time to menopause, we can tell them what
symptoms to look out for so that they
know when they're getting these symptoms
within a few years of their expected time
to menopause, what to do, how to
bring these results into their provider
so that they can advocate for themselves

(08:56):
and hopefully get connected to a
diagnosis andIf they want
a prescription sooner. So I have a
question, even I don't know
everything about this stuff and I'm in
the in the throes. So and to
clarify for some of our
listeners, can we explain really

(09:18):
quickly to what menopause is,
right? Because what you're doing with
timeless biotech and your predictor
tool is predicting.
Menopause, right. But perimenopause is
very much in play for many, many years
before you actually hit menopause. So can
you kind of just explain that a little
bit? So everyone, everyone that is not

(09:39):
me going through it
understands. Yeah.
So menopause is defined as the one year
anniversary from your final menstrual
period. So it's a it's almost like a
retroactive diagnosis. You can't.
Determine that the woman has had her
final menstrual period until she's gone a
certain amount of time without

(10:00):
like without ovulating. So that's
technically the definition for menopause.
But when people talk about the menopause
transition, there's that's there's a lot
more to do with that. And that's where
you have the whole process of
perimenopause and the symptoms that come
well before can come well before you
actually. Have that final menstrual

(10:22):
period. So that's where you that can
start like five to seven years before
menopause. So if you're saying that the
average age of menopause is age 44 to
54, you're talking about perimenopause
being able to start as early as your late
30s. And that's when women,
many women start to experience hot
flashes, night sweats, irregular periods.

(10:44):
Someone would get tinnitus, some women
get. Bleeding gums like some
women just have a complete loss of
libido. So there's a lot of different
symptoms that are associated with this
phase because if you see what your
hormones look like during perimenopause,
it's it's it's a frightening
sight. It's like really, really, really

(11:05):
intense fluctuations and a woman feels it
like she feels it in her mood and and and
those experiences as well. So typically
she goes into her doctor. And with these
symptoms and that's when hopefully in an
ideal world, she'd get diagnosed
or given access to treatment to help
manage her symptoms and the associated
health risks. Yeah, and definitely, I

(11:27):
mean, I think, and now that we've been
covering, you know, menopause and
perimenopause on the show here, we've had
a few episodes so far on it and we are
not going to stop talking about it. Yeah,
we're gonna do a menopause roundtable
too. So that'll be really cool to bring a
bunch of women together. I don't know how
Jeremy's going to to fare during that,
but we'll always an adventure. We'll be

(11:49):
nice. But you know, the
diagnosis, right, is we're usually and
often living with it, to your point, for
years, right before we even. Someone
even says, Oh yeah, you're 100% going
through perimenopause and here's some HRT
and progesterone or whatever, you know,
things that you need to to treat your
symptoms. So, so where timeless

(12:11):
biotech comes in and it's called the
your predictor tool, do you do you call
it the predictor or is there another? We
call it the menatime predictor. So
menatime, very simple.
OK, so that is.
So somebody like me, actually, I would be
perfect for something like that because I
haven't technically hit menopause yet,

(12:31):
right? So I need to get on the wait
list. Yes, you
definitely should get on the wait list.
And that's really why we designed this as
a predictor, because there are tools like
there, there are menopause diagnostics
that exist, but they're not really
clinically meaningful. because you've
already gone through the whole roller
coaster of perimenopause and stopped

(12:53):
having stopped menstruating by the
time you can be diagnosed for menopause.
And then there are perimenopause
diagnostics that are also like not
considered very scientific if they're in
blood, urine tests, like they can still
predict, but you're
you're not really capturing anything
meaningful with blood tests that diagnose

(13:16):
perimenopause because you'reHormones
really fluctuate so much. So it's it's
difficult to test around this phase,
which is why we built something that's
like very proactive because that's the
only clinically meaningful way to
approach menopause and and
diagnostics and care surrounding it.

(13:37):
OK, so. Let's just use me as an
example. So it well, I'm guessing it's
hard to know when an opportune time is,
but you certainly need to be going
through perimenopause for this to really
be something to use. Is that so you
can use it before perimenopause, even
before up to 15 years before.
So yes, so you can use it well before

(14:01):
and if you're in perimenopause.
you probably have already started to
interact with lots of these materials and
that education surrounding it, like what
symptoms to look out for, like how to
connect to treatment and many things like
that. But lots of times when women
already start symptoms, you probably know
like the learning is happening at the
same time as as when they should be

(14:22):
treating. So that's why we wanna get
women educated about these things sooner.
So it really is like, you wanna get women
on this when they're 30. So that they can
see when perimenopause is actually gonna
kick in for them. Yeah, I'm in my early
20s. I'm waiting for us to extend that
that prediction range.

(14:43):
I mean, yeah, 15 years, it's early 20s.
You're not worrying about it yet. But
once you hit 30, you can jump in on that,
right? Yeah, that's wild.
That's, I'm actually really surprised. So
how does it work exactly? Like how does,
how does the, the yeah, just tell us
everything. Right.
So it's like, it's it's blood, standard

(15:04):
blood biomarkers, you know, FSH, if you
are familiar with these hormones, then
that's great. If you're not, you don't
have to be. FSH,
AMH, estradiol. um
These are typically very indicative of
ovarian reserve. So how many eggs we have
left in us. And then you'll obviously
have some other like that other

(15:26):
variables that are indicative of
lifestyle. So things like cholesterol
and other biomarkers, we take into
account race and all that kind of stuff.
So after you give us the results
for that one blood test, then we're able
to return your time to menopause
prediction. as well as a suite
of recommendations that are personalized

(15:46):
to your hormone health. Umm So that's
basically the gist of how it works so
that women can not only just receive that
prediction so that they can have clarity
on what to expect, when to expect it, but
that they can also like make certain
lifestyle changes in advance that could
potentially help them if they want to

(16:07):
delay that transition, if that's of
interest to them. And
how do you delay menopause? Yeah, yeah.
So this is, this is kind of like a
chicken and the egg situation. And the
reason I say this is because we have
correlative research. So there is
research in the area that suggests that
certain lifestyle practices and certain

(16:29):
things are related to a delayed
menopause, like a later menopause onset.
However, our tool is new and
has never existed before, so no one has
been able to determine observationally if
the same person could delay their time to
menopause if they take on, they
they make these lifestyle changes. So

(16:50):
because our tool hasn't existed yet, we
don't have observational data on that,
but we can start collecting that. So that
would be a huge. Change like a a
huge milestone for reproductive longevity
and I would consider women's longevity is
if we were able to identify that we could
delay this transition that's associated
with health span. Yeah, that I never even

(17:12):
considered that could be a possibility.
And you said that menopause
can lead to a lot of different health
issues, diseases and whatnot. Yes.
Are you able is this?Program you have
able to predict specifically what, which
of those problems people might see based
on their own physiology? Right. So those

(17:33):
are the next steps and that's something
that's high in our priority list. Like
there are two main things. One is
connecting people to treatment that is
correct for them if they're interested in
it. And the second is predicting what are
you at risk for? Because the question of
to treat, to medicate or not to medicate
is not a non-nuanced question. It's
very complicated and it requires. risk,

(17:54):
like deep risk assessment for different
conditions. So that's why we want to be
able to explore, like, does this woman
have a significant risk of heart disease?
Because the risk of heart disease doubles
over the menopause transition, especially
if it's not adequately managed. So
if this woman has that increased risk,

(18:15):
does that outweigh some of therisks that
are associated with hormone therapy,
and that's a completely separate
conversation. Like I said, very nuanced
conversation on hormone therapy. But yes,
that risk assessment and deciding what
would be the best intervention
is definitely in our to-do list.

(18:35):
So this stuff's really getting built in
real time right now. Yes,
engineering as we speak. And it's
it's kind of like a couple of other
episodes we did. The more people who sign
up for this, the sooner the better, the
quicker it will be able to figure out all
these things and it will work better for
everybody if more people get involved,
right. That data set, right. You've got

(18:56):
to have a big so you can start looking at
the trends right and different things
that are happening or or looking for
like you were saying like these
indicators, right. That in these
biomarkers that might say, oh, that
person might be more susceptible to, you
know, like what did you say? I don't
know, the heart disease or whatever, what

(19:17):
have you. Well, and as you
were talking to and you mentioned
obviously, you know, hormones and being
on hormones, right, HRT and
progesterone, right. That's kind of like
a normal combo of meds for
women. But in to
speak to kind of the differences between.
Different women taking the same thing,

(19:38):
right? For example, I might
a patch might work with me, but
another form of hormone,
like maybe it's a, you know, the cream,
right? Or. However, it is right. Like you
can get hormones in different. Jeremy,
did you know that you can get hormones in
different ways? Yeah, yeah. You can have
it right on your skin. Yeah, that's wild.
All the different ways you can get it and

(19:59):
then the different dosages. It's like how
many milligrams of progesterone versus
this. And like I talk to my all my
friends cause there's a whole bunch of us
that are in it and everyone's different,
right? We're all doing something
different. So and and there it's good
that there are so many options, but that
also is why like. And I'm sure you agree
with this too. I don't like the idea of

(20:20):
being like pro HRT or anti HRT. Like
that's one of the first questions I get.
They're like, you know the research, are
you pro HRT or anti HRT?And I'm like, I
would never advise someone who wouldn't
benefit from it to take it, right?It's a
very nuanced question.
And even though I do think that we're.
there's a lot more fear surrounding

(20:43):
hormones than there should be and a lot
of misinformation surrounding it. That,
like most of us have concluded, even the
people who are considered anti-HRT
typically would never say that there's no
situation where a woman should take it.
So I think one thing to explore
more thoroughly is
every individual case scenario and

(21:04):
what are the subjective factors that are
leading to doctors feeling uncomfortable
prescribing it. Because that's where you
have an overwhelming amount of
women who want treatment but don't get
access to it because doctors are just not
comfortable giving it to them. Like you
tell them you have a risk of blood clots
and they won't even have a like many
times a conversation with you. about

(21:26):
how oral estrogen is known to
increase blood clots, but vaginal
estrogen and transdermal estrogen are
actually considered safe for women with
that risk. Doesn't mean you you can still
do what you're comfortable with, but that
conversation, that interaction
needs to happen. Um And that's why
we want to like create some of these

(21:47):
tools to help better inform those
decisions surrounding treatment. Yeah. Is
that just old school protocol that they
don't want to have that conversation or
what what causes them to not go into
that?Honestly, it's it's very,
the research is very, very
complicated. It's very, very nuanced. New
stuff is coming out all the time. There's

(22:08):
so many disagreements in the research
that you really have to like look at.
Like you really have to be doing this as
like a full time job to monitor what the
best. Like take it, like what's the best
protocol?And then you also have to know
the person's history so well. So it's one
thing to know what the evidence-based
research says, and it's another thing to

(22:28):
also practice it when you have like a
license at risk or like your your own
job, your job at risk. So we want to
make sure that doctors don't have to
eyeball these things and they can
actually rely on some tools.
I I got to ask a question too. This has
come up machine learning or

(22:49):
ML as as Jeremy and I have learned that
acronym and you've mentioned that that
that's part of the work that you're doing
with Timeless Biotech and the the your
predictor tool. Can you talk a little bit
about what the role machine learning
plays plays in this because it's like for
me it's like the new you're kind of like
in the space of like a I right this

(23:09):
kind of newer term and how it's.
really influencing a lot of these really
cool new like apps and platforms and
products and things that are coming out
in the healthcare space. Yeah, I'm a
full-on machine learning geek, so feel
free to ask those questions.
I really, really love, and I'm

(23:30):
not alone in this, the specific
application of machine learning in
women's health because it's actually
able to catch us where we are, and where
we are is we know nothing. So
the great thing about machine learning is
if you have the dataset required, the
large and large enough dataset required

(23:52):
to run a machine learning model on it, is
it tells you what's important. So it's
something called a weights analysis.
If I wanted to run, like create this
this model without machine learning,
I'd have to tell the system
whatvariables matter more.
I'd have to say you want to use this

(24:12):
marker, you want to use this marker and
you want to use this marker. This is how
important each of those markers are. I'd
have to tell the system that. With the
machine learning model, it takes in the
data and it tells me, it gives me
something called a weights analysis and
tells me this biomarker is more
predictive, this biomarker is more
predictive and the combination of these

(24:33):
biomarkers, like whatever it does, it
tells. It gives us that information,
which goes a long way in women's health
when we don't have a lot of that
preliminary understanding of what
biomarkers are more predictive,
especially when working in hormones where
things like fluctuate a lot from
individual to individual. So that's the

(24:54):
reason that we use machine learning for
this specific tool.
Okay. So this might be a little too
specific. I'm a numbers guy.
How many people would you
say it would take or how many women would
it take to sign up for a timeless
biotechs platform here to actually

(25:17):
get the data set you're looking
for to figure all this stuff out?Are we
talking thousands, hundreds of thousands,
millions of people?How how many people
over how long of a time do you think it
would just, I mean I I I don't
what you know, give me a a guess in in in
your experience. How many people and for
how long do you think it'll take for this

(25:37):
to be like, we know what we need to know
about this for everybody?Yes. So we
have prototyped our model already using
the a data set available. So we
have the 10s of thousands of data points
that we needed to create this data set.
So yeah, we are there and

(25:59):
yeah, we can start. by giving women
these insights about their health using
this tool. And it's not just, it's not
just us. There's so many companies and I
just like, I know that like I'm obviously
a big fan of like menopause and
predicting menopause, but so many
companies in the women's health space
that are applying this hypothesis of
using like these like very advanced,

(26:21):
sophisticated machine learning and other
tools in women's health. Like I,
Like you can see it in like Mira Health,
like they just came out with their
postpartum, yeah, their postpartum
predictor using blood, which is like a
phenomenal advancement. Like you have
companies like Kara that are focusing on
like endometriosis diagnosis with blood.

(26:42):
So it's just a lot of people who are
focusing on machine learning, women's
health at that intersection. And it's
really exciting. I'm really excited as a
woman. I am too. We had,
we had Hera on. We had oh, Hera
Fertility. That's a little bit different.
That's a different. Yeah. Yep. She's
naming another one. We did just do Endo
for the endometriosis. Yeah. Yeah

(27:04):
YeahI know. It's it's funny when I'm out
on LinkedIn now because I'm I'm part of
this like femtech universe. I've been
adopted in and I see all of you
talking to each other and I think it's so
cool that we've had so many of you on our
show and I'm like. I'll be your platform.
Let's talk about all these things because
it's important, right?Like, it's
important to me. You know, I'm 48 years

(27:26):
old and you know, I've, I've been, you
know, going through all of the, you know,
the journeys here as a woman, you know,
having had two children and had some
infertility issues, you know, and and you
know, you name it, right?Like there's not
one woman that you can talk to who can
say that they haven't experienced
something unusual or weird or not normal.

(27:46):
You know what I mean?So it's like, we
need this. So badly.
It's so cathartic to have these
conversations as well. Like just as a
woman, that's what, when I, when I talk
to people who are not like working in the
women's health space or the femtech
space, they really feel alone and
isolated. And they're not even aware that
they're experiencing that until I hear it

(28:06):
like coming out through their language,
just like this overwhelming feeling. And
that's like, that's also something you
start to notice more when you get on like
these women's health, like social media
platforms. Like, I don't know if you're
on DM if you'reYou should check it out. I
should. Yeah. D-I-E-M. I
I kind of think of it like the female and
LGBTQ version of Reddit.

(28:28):
They're also like a social search engine
and I just see like throughout the day I
get notifications of like questions women
are asking and lots of them are women's
health based. Some of them are just
really funny and I just.
Love these like platforms where women can
just talk about what they're building,
what they're thinking. It's it's really
funny and also really important.

(28:50):
Yeah, I'm glad that we have, we have a
much bigger voice and you know, in this
again, this comes up on our show all the
time with various, you know, people that
we meet. COVID, as crappy
as COVID was, there were some really,
really great things that have come out of
COVID. And it's like this kind of, you
know, not just telehealth, right?Like

(29:11):
that was kind of like the big thing at
first is, you know, oh, telehealth has
now become much more accessible and and
and you know, widely available. But it
was all this technology and A I and
everyone was so freaked out about a I at
first, like, Oh my God, we're all going
to be run by robots and whatever. And
it's like, no, it's machine learning,
right?It's the A I that is creating,
that's allowing people like you. To

(29:32):
create tools like this that are going to
help us actually get way more in control
of our healthcare and this whole idea of
like preventive care, right?And
value-based, like I worked in value-based
care when it like first became a thing
back in like 2010 ish. And
you know, there's been this big push to
like go about healthcare instead

(29:53):
of the reactive way that we've been doing
it for decades instead being the
proactive like you've said a couple of
times. And like this, these are the tools
that are going to help us do that. But we
needed, we needed A I those scary A I
to help us get there. So you know it's
it's such an exciting time to be a part
of this industry and to like literally
see things changing like right in front

(30:13):
of our eyes. You see it like right in
front of your eyes and you brought like
you called it out like telehealth was so
big when like it boomed like around the
COVID times and now we're starting to see
more like the function healths of the
world. So like those testing companies
and now we're seeing testing and testing.
And when it comes to like women's health,
it's like, what did these tests mean?
Right?So that's like that next step is

(30:34):
putting those meaningful tests. So
like meaningful information from these
tests into the hands of those telehealths
and like those even like standard care
providers. And then you've connected this
like chain, right?So that women, it's
getting delivered to women. You have your
platform, but you're also getting like
these very data-driven

(30:55):
objectiveinsights directly
delivered to them through these
platforms. So yeah, it's it's a good
time. Yeah, it's it's an exciting time to
be alive. Yeah,
absolutely. You know, AI is really cool
when you use it, right?Yeah. You know, if
you're if you're making new medicines and
new treatments instead of terminators,
it's a wonderful thing. Exactly.

(31:18):
It's great, like AI has great
applications in these areas and I think
that another thing that COVID didAnd
you probably have noticed this as well is
like it. really like
expanded how many people start to access
like social media. And that's, it's a
good thing and a bad thing. Like I've
seen like people get really addicted to
TikTok and real like reels, but

(31:41):
like my mom started going like on
Instagram and getting access to like lots
of these medical influencers and like
learning a lot about the different
issues. So that's like something that's.
Really important. And that's like we one
of our main things that we want to do.
Like we're developed a we've
developed a reproductive health document
that's just focused on what questions

(32:03):
you should be directing your provider.
And it's like talking about like all of
these different things like pregnancy
risks and complications, miscarriage
care, contraceptive care, like
perimenopause. So like reproductive aged
women can like use that document to kind
of like guide them and give them that
basic level of information that they need

(32:24):
and they can download it so that it
doesn't, it's not online, it's not
anything that can like dynamically
change. So that's like something that
we're trying to take advantage of. Got
it. One of the things I wanted to touch
on too with you is, because I was looking
at your website and
I was actually looking at your blog and I
saw that you cover PCOS,A little bit

(32:46):
more extensively than some other topics
obviously beyond menopause. And can you
talk about maybe like does this this
menopause predictor, does it play into
PCOS?Is there some correlation here?So
maybe you can give us a little little
context around that for the listener out
there. Polycystic ovarian syndrome. Oh,
Jeremy, I'm so proud of you. You know
what I learned that I learned that right

(33:08):
here. See, I'm so glad to hear that.
Yeah, I can do a little. I forget what
episode it was, but I learned that on
this book. To educate, educate and create
awareness. Even Jeremy is being educated.
He's the greatest thing ever. Look, look
at you. I'm going to know more about
menopause than any man in America. You
really will. Yeah, I think you might. I

(33:29):
really am. You You might know more than
some women too, unfortunately. I might.
You might. Yeah. But
PCOS, technically, yes,
polycystic ovarian syndrome, but many
people who just have like signs. of
high levels of androgens, so high levels
of testosterone. So let's say you have
like a lot of facial hair, you get like a

(33:49):
lot of acne, or you have even
women who have like some levels of
insulin resistance, like lots of these
things that might result in a woman being
told that she has PCOS.
So it's it's a syndrome. It's a It's a
collection of symptoms that will may
lead to your doctor saying you have PCOS.

(34:11):
SoThe reason we have a lot of
content on PCOS on our
website is because we're
treating women, or we're not
treating directly, but we're predicting
time to men and plus for women.
Some of our women have PCOS, some of our
women don't have PCOS. Some of the women
take contraception, some of them don't.

(34:33):
These are all intersections, they don't
function in isolation. A woman doesn't
have PCOS and thena different
woman goes into menopause. That woman who
lived with PCOS is that same woman who
goes through perimenopause and menopause.
What does perimenopause look like for a
woman going through PCOS?These are the
type of conversations we need to start

(34:54):
having. This is like one of our core
missions at Timeless, is to elevate that
standard of what a general amount of
women's health information looks like.
So talking about if you have
PCOS,and you have endometriosis
and you take our test, what are some
specific interventions you can do that
are unique to your specific conditions in

(35:16):
your scenario?So you probably came
across the blog on PCOS
and metformin versus
GLP-1s. Um So the whole
point of that conversation was to address
that like,Many women with PCOS have
insulin resistance. These are tools that
are typically given to women with insulin
resistance. If you don't have insulin

(35:38):
resistance and you have PCOS,
are you still someone who's a candidate
for something like metformin or GLP ones?
What are the experiences that people have?
Which one?What might be better for you?
And then, of course, we want to. also
talk about women who are perimenopausal
with PCOS and whether taking something

(35:59):
like a GLP-1 would increase her risk of
frailty, menopausal frailty. So having
these like very nuanced conversations
that specifically address women's
issues, not just a woman with PCOS and a
woman with menopause, a woman with PCOS
who is experiencing menopause, what
should she do for her health?Umm

(36:19):
Gotcha. OK. Thank you for explaining
that. I I kept seeing it and I thought,
gosh, I should probably just bring it up.
So yeah, I love, I love talking about
it. Great. Jeremy, do you have a question?
No, no, I was just agreeing. That was a
good clarification. Mike, did you have
another acronym that you're going to
spell out for us?Drop one on me, see what
happens. I might do that, actually. You

(36:40):
should quiz him at the end. Pop quiz.
We'll do that at the round table. They
can quiz me at the end of the round
table. That's crazy. Yeah, we'll do it.
Jeremy, don't tempt me.
I'm going to have some questions for that
round table, let me tell you. You are.
So you know going back to kind of the
purpose of this predictor, right, like it

(37:02):
you start, you can predict, you know
predict menopause, you know you can start
seeing these biomarkers, you could start
seeing you know potentially
you know things that you know somebody
might have potential to you
know to have a certain condition, right,
like down the road, right. Is that kind
of how that how that works so that you
can kind of have almost have a road map,

(37:24):
right, like if you get this. The results
back and you and you have mentioned you
know some other kind of supports and and
and things like that based on what your
results are to help kind of you know
guide you you know through whatever your
you know your your path looks like
in terms of like what does somebody do
with that right. Like if I I get on the

(37:45):
wait list sure I get it. OK then what you
know are you working with providers like
how are doctors kind of ingrained and
into what this kind of like you know
Ecosystem is going to look like for
timeless. Yeah. So we're going to be
partnering with, well, we currently have
Doctor Sangeeta Patti who's on our
advisory board. She's an OB GYN and she's
worked with so many women who are

(38:05):
premenopausal, perimenopausal and
postmenopausal and specifically helped
them with managing their hormones and
balancing that personalized to them. So
she so. working with people
like that, who have worked with thousands
of different women and helped to optimize
their specific health, like their hormone
health, so that they go through these

(38:26):
transitions more smoothly and they
prevent preventable illnesses quite
quite clearly. So we're going to be
partnering with more practitioners like
that, more coaches in that area, so that
when women receive this prediction, it's
not like a countdown, but instead like
you havethis many years
to, you know, get ahead of the game and

(38:48):
give them like personalized
recommendations based on their data
of how they can prepare for this
transition. And if they're interested in
it, do certain things that could
potentially delay that transition. And
that's where like lots of that literature
comes in and lots of the experiences of
these practitioners and their ability
to help with certain cases likeLike a

(39:11):
POI, that's a that's a new one for you,
Jeremy, which is premature ovarian
insufficiency. So women heading into an
earlier menopause, like how do you cope
with a situation like that?How do you
cope with a woman who have hypothyroid
thyroidism and are then heading into the
transition?So we'll definitely have like
a comprehensive way women can prepare.
That's knowing when you're going to start

(39:32):
menopause is just the start. Yeah. Now
you need to actually know what to do with
the information. It does sound like. A
much better way to go into it, knowing
that it's coming. But I'm I'm glad you
clarified that too, cause I really did
have this image in my head of a, you
know, this, this big booming voice, T -,
875 days to meta poppies. Yeah, not like
that. Not like that.

(39:54):
Here it comes. It's coming. Are you ready?
No. But this actually can take that
feeling out of it. Like it might feel
like that if you don't know it's coming
and all of a sudden it hits. If you, if
you know for years ahead of time and
you're, you know, making it so that it's
not going to hit as hard and you can even
put it off and things. I mean that that
just sounds like, I mean taking control

(40:17):
of your own life in a way, really, right.
Exactly. Yes. Taking your power back.
Yeah. Well, and I have to imagine too,
you know, I've always, you know, I've
worked in the health in the healthcare
industry for a long time and I was on
the, you know, insurance carrier side and
you know, so much of, you know, big bad,
big bad insurance carriers. You know,
obviously costs, right?Like that's what

(40:37):
they're constantly looking at. They've
got like, you know, hundreds and hundreds
of, you know, you know, what do you call
it, not adjusters, actuaries, you
know, that are constantly looking at this
like, you know, claims data and how do we
lower costs and you know, all the things.
It's tools like these, right, that help
us get ahead of these problems before
they happen. That's like the whole
concept of value-based care, right. And

(40:59):
so I have to imagine too that, you know,
insurance companies. Are going to
appreciate tools like this, right?Because
instead of me having, you know, you know,
three like acute health issues, right,
that are very costly, might turn into
something chronic. By having this
information ahead of time, like we can
take, we can take all of the

(41:21):
initiative. To stop them from happening
or at least minimizing that. And in the
end that's that's less cost on, you know,
on the, you know, on the, on the
healthcare kind of industry as a whole,
which then has a trickle down effect,
right. There's a reason that we pay so
high for premiums. It's because all of
the other costs are so high and people go
to the Uh instead of their PCP and you

(41:42):
know, all the things that I complain
about every time I'm on the show.
So I'm not a big fan of the phrase
trickle down, but I agree.
Yeah, like you've nailed it. Like these
things add value and they reduce
costs, especially in the long term. Even
if you don't want to be that person who's
like doing all your recommendations, like

(42:04):
showing up at the gym, even if you don't
do those things, which we obviously
recommend, even just knowing
what should be common knowledge for our
women, like just that knowledge.
saves you those like six general
practitioner visits where you're going
back and forth trying to get a
diagnosis or like those four to five

(42:25):
different providers you have to go to
eventually like an out-of-network
provider to even get access to someone
who's gonna like give you HRT if
you want it. So like even those months
and years that you save
just because you know what's happening in
advance, like you're either earlyor
you're late, right?There's no such thing

(42:45):
as on time. So just from having that
knowledge of when it's gonna come so that
you can you know actually gain access to
treatment on time, even that goes a long
way. So yeah yes, this is definitely
something that insurance providers would
see value in. This is definitely
something that people see value in,
practitioners see value in, and
why we're trying to go through

(43:06):
those channels as well. Yeah, it's good
for everybody. And actually that was one
of the other things I wanted to cover
too. So there's a wait list to
get the predictor. So how is this going
to work in terms of distribution?Can just
kind of the, you know, any lady off the
street, you know, be able to
go on the website and say, hey, I want to

(43:27):
order that and then, you know, you talk
with your doctor about it. Will it be
available through providers?I know that's
always a great channel and right for like
OBGYN to be like, hey, you should, you
know, you just had a baby, you should
have this because you're going to. Yeah,
Yeah absolutely. So yes and yes. So the
first easiest way, if you're just like
sitting and you want to access the tool

(43:47):
will be the at-home test kit. So it'll
get shipped directly to you, finger
prick, blood test, you send it back in
and we give you all of that information.
Like we tell you your predicted time to
menopause, we give you that like those
personalized insights. So you can go to
our website and that's where you sign up
for the wait list to gain access to the
tool that way. What we would also be able

(44:07):
tofor women who, let's say you don't live
in the US and you have insurance
or you have free healthcare and you
already have access to your blood levels.
You can also just input those
into our system. We'll have a system
where you can input those online and then
you'll be able to get a prediction there
as well. as well. So that's how you can

(44:29):
interface as a consumer. And then of
course there, we want to go through
clinics. We want to go through like
companies that have at home test kits. So
there's a lot of different ways to get it
out there. Also companies that just
want to test their products. So like if
you, the same way you have biological age
tests that tell you that you're able to,
that this supplement or this

(44:49):
nutraceutical is able to delay or slow
your biological aging or reverse
biological age for you. Companies that
want to test that and see if they're able
to reduce their menopause
timing is also something that
can be integrated because that's a more
tailored approach to women and women's

(45:11):
health is to see if this is actually able
to delay your time to menopause. Got it.
So obviously patent pending, right. So
which is why it's not available yet, but
it's already in the books if you're
selling stuff, yeah. So what is the
timeline in terms of releasing this to
the public?Do you have kind of a an ETA
on that?Yes, we want to get out

(45:33):
within the next few months. So we
do want to be available soon, yes. But
signing up for our wait list helps you
get first access. So definitely. Oh, you
know, I'm doing it like no
doubt. And then I will just, you know,
sing your praises out here. Thank you.
Thank you so much. So you're basically
still in beta stage. You're not like

(45:56):
publicly available yet. No, so
we're not publicly available yet, but we
are building like a strong
resource and communities around like just
lots of great information in women's
health and perimenopause. So you can
definitely check out some of the
community communities that we have and
some of the resources like our blogs and

(46:17):
like podcasts like these. Yeah,
you got some good content out there
already. It's always good to get in
early, get on that wait list. Well,
oh, sorry, go ahead. No, I said just get
in the wait list. That's it. Yeah. Oh, I
I like legitimately am. I'm like, bye.
Just kidding. Excuse me, I need
to go take care of that right now. It's

(46:38):
just all through the website. It's just
all through the website. There's is, is
there an app forthcoming or is it just
going to be the website?Thank you for
asking that. That was my other, that was
my second question. So there will be an
app that will accompany and
and what will that app provide to
somebody who who would be using it?So
there are options like you'll get,

(46:59):
obviously, when you order that blood test
and you get your results, it'll tell you
your predicted type of menopause. It'll
give you all of these other personalized
informations, but it'll also have a way
for you to interface with it, especially
if you want to keep reordering the test
kit to see if you're able to delay or
track your menopause onset.
That's like you'll be able to see like

(47:20):
that tracking. And yeah,
and we also want to set up a woman's
health GPT. So it will
take, like put together your information
that like that you've given us about like
your hormones and everything and be able
to answer your questions. Oh, that is
so cool. Wow. I love that,

(47:40):
I love that. And then you create
community around that, right?Like I may
think you you were talking about like on
DM. Yeah, DM, great
platform. Yeah, I have to check that out.
I can't believe I'm not out there yet.
Carpe the DM. Hey,
Jeremy's got all the one liners here. I
don't get to have any fun.

(48:02):
I'm mysterious over here. But
you do. I mean to create that community,
right?Because like women love to talk
about this. I mean, I can even tell you,
you know, obviously being in the throes,
you know, me and my friends are talking
about, you know, everything. So you know
Siri and and Alexa are always listening
to us. So now they know all my deepest
kind of secrets. And so then they feed

(48:24):
me, you know, through like the algorithm
on Facebook. And I'm like, I do. I wasn't
even searching that. And while all of a
sudden there's this like ad in my face,
I'm like, they're literally listening to
me, you know?And then you've got all the
influencers, like you said, and like all
of these new products that are coming out
and women crave the community that comes
with that. So like, we'd love to talk

(48:44):
about it. Yeah, there's so many studies
on this. And one of my favorite ones that
I came across was that women who
have a lot of female friends or like a
strong female community, when something
bad happens to them instead of
cortisol, what really gets what gets
released more is oxytocin. Which

(49:04):
means that, yeah. So when you have female
friendships and a female community, when
when someone, when something bad happens
to you, your brain literally goes text
the group chat. It literally sees it as
an opportunity to bond. And it's
it's honestly like with all of the things
that women have to go through in their

(49:25):
lives. It's only fair that we get this
coping mechanism of being able to like
bond and make all of these like jokes and
community around it. So it goes a long
way for what it does. Yeah, it does.
Well, I'm excited about what you're
doing. This is super cool. And I can't
wait to tell all my girlfriends about it
because this is like, this

(49:47):
is what we need, right?Like this is the
life that we're living right now. So.
You talked a little bit earlier on in the
show as we kind of like wrap things up
here a little bit, you've got some
long-range plans. So kind of like
what's next?Obviously the, you know, the
actual predictor itself needs to get out
there in the market hopefully here in the

(50:07):
next few months. But then kind of
like what happens after that, right, like
you're you start collecting the data, but
you've got, you know, you've got some
big, big plans I'm sure coming in. A lot
of big plans, not all of them can be
shared because we're still we're still
tinkering. But definitely
things, what I can promise is things I

(50:27):
can assist with that connection to
treatment. So how do we remove lots of
the subjectivity there so that
we can actually facilitate a connection
because treatment is known to reduce all
cause mortality and promote health span.
So how can we make sure women are gaining
access to that?That's what I'll say.
OK, leave us in suspense. I'm

(50:50):
excited for you. I mean, just doing, just
having this is like, it's
crazy, right?I mean, Jeremy and I are so
lucky. We get to meet, first of all, like
some of the smartest, most brilliant
people and bringing some of the just the
coolest things onto the market in the
healthcare space. And I'm like blown
away. Like we're we're surfing the front
wave of of the, you know, women's health

(51:11):
innovation on this podcast recently.
It's. It's pretty mind-blowing stuff
that's coming out, man. Yeah, it's
amazing. And like, yeah, I I
do have a different view of a I now since
we started this podcast. Honestly, seeing
all the wonderful things that are being
done with it in the in the healthcare
realm gives me a much more positive view
than, you know, when you look at the

(51:33):
billionaire oligarchs trying to
overtake the Internet with their A is and
track all our data and and put ads on
your phone for stuff you never even
searched and things like that. Yeah.
When you think of that side, it's like,
this is dark. But then there's this other
side where it's like, oh, we can actually
do good things with this.
They're tools, right?Tools can be used

(51:55):
for either thing. Yeah. So definitely
great tools and lots of amazing stuff
happening in this space. Like, I see it
in my newsletters and I'm like, oh, this
is the good news I needed. Yeah, yeah,
there's lots of good happening. There's a
lot of good happening out there in the
world. And I'm glad to have you here on
the show today. To tell us about your
little quarter of it and bringing a lot

(52:16):
of us up mid to late 40s, early
50s women a little bit of a little bit
more hope. So with
that, let us know where we can find you
online. Are you on social media like
where we can follow you and and where to
sign up for that for that wait list.
Yes, so Timeless is on, so

(52:37):
timelessbiotech.com, really easy. That's
where you get onto our wait list. If you
have any questions or anything like you
want to connect with us, then we're also
on socials. So we're on Instagram,
we're on TikTok, same handle, Timeless
Biotech. We're setting up Facebook
groups and WhatsApp groups as well. So
that'll all be accessible through our

(52:58):
website. Wonderful. You'll have to get
in their group. Yeah. You know, I have to
say, I don't love Facebook anymore, but
one of the most redeeming qualities about
Facebook are the groups because of the
community that it creates. 100% my
favorite thing about Facebook. So I will
definitely, I'll definitely seek it out.
We'll share all of this in the show

(53:20):
notes. We'll put it in the in our social
media when we share this, share this
interview. So thank you for thanks
for sharing all that information. This
has been yet again, another enlightening
conversation. Gives me a little glimmer
of hope, especially when the news kind of
looks like garbage half the time. This is
like the positivity that I need in my
life. And so thank you so much for

(53:42):
coming on today and in sharing with
us and our listeners the really
cool, innovative stuff that you're
bringing to the to the menopause and
women's women's healthcare space. Yeah.
Thanks so much, Heather. And thank you,
Jeremy, for being such a like having such
great questions and being such a good
listener. Oh yeah, thank you. That's

(54:03):
that's why she asked me here. Honestly,
it's because I can do that. I've been a
taxi driver for 15 years. I'm a
professional conversationalist at this
point is what that job teaches you. I
literally get paid to talk to strangers
all day. And you're good at it. I've
gotten good over the years. I'm well
trained. Yeah. YeahAwesome.

(54:26):
And there you go, our conversation with
Kiran Kumar from Timeless Biotech.
Very informative stuff, very cool stuff.
I feel like every woman in her 20s should
be listening to this podcast at this
point. I concur. And before I
set you loose here, Heather, I do want to
make a correction from the opening of of
this episode. You see, San Diego's

(54:47):
mascot is King Triton. They're called the
Tritons. It was UC Santa
Cruz is the sea slugs. Santa Cruz, not
San Diego. You can see why I got
confused, but just wanted to correct
that. But So what are our main takeaways
from today's conversation?Most
importantly, let's talk about what we
learned today. I'm mind

(55:08):
blown. A tool that predicts menopause.
Like sign me up. I know like you
don't. You never even would have like
thought of that as a possibility, right?
No, it never would have crossed my mind
that someone could even do that. It up to
15 years in advance of it actually
happening. I mean, 15 years, that's a
long time and 15 years to prepare.

(55:30):
And then they give you methods of
postponing it, right?Delaying
menopause, like I I know there's like
surgery, right?Like when getting like
hysterectomies and things like that,
that's where it like brings it on. But
to delay it, like actually push it off.
And I'm still kind of wrap my head around
that one. Why?But what's cool though,

(55:52):
so this tool, the meno, the meno
predictor, or meno time predictor,
um it's not just like, oh,
hey, and you have a, here's the blood
test, right?And your
menopause is going to happen in, you
know-- T minus 874 days.

(56:12):
Exactly. Not only does it
give you that, but it also gives you the
actionable insights, right?So you have
like the app and it tells you all of
these things. And so you can actually
learn from it. You can make changes
to your your health, right?
Like to your body itself, like whether it
be through nutrition or

(56:34):
or, you know, physical activity or
certain things, right, that will like
help you either maybe at least go
through it a little bit. Easier,
more prepared. I don't know. Nothing's
easy with perimenopause. But I I
feel like if you know it's coming and
you are able to properly prepare, it
makes anything better. Like it's not

(56:56):
going to make it go away. But yeah, total
lessening of the symptoms and you know,
it comes on slower and the symptoms are
lesser and just just make your whole time
of it easier. You know, it's it's
something women got to go through, but.
You can have more control over it than
just sitting there letting it happen to
you. Yeah. And I like the idea of having

(57:16):
not just knowing like when it's going to
happen, but like knowing how I can do
things for myself, right. Or, I mean,
it's just it's right. It's
empowerment. Yes, exactly. It's actually
understanding what's happening to you and
what you can do about it. It puts you in
such a better position than just. Oh my
God, what's happening to me?Well, and and

(57:38):
not to mention too, you know the I've got
the stat here in front of me that
actually was shared by Timeless Biotech
on their LinkedIn page. A new UK based
study finds that one out of 10 women need
6 to 10 General practitioner
appointments to receive a menopause
diagnosis. Which crazy, right?Like
we've I know, right?So.

(58:00):
It's a pretty straightforward thing. You
have to see so many doctors for them to
be like, Oh yeah, you're going into
menopause. And so then having a pool that
says, hey, like this is coming, like it's
almost validation, right?Like, like, no,
I. And sometimes it won't be right.
Sometimes it won't be symptoms of
menopause or or perimenopause. But even
still, it's good to, you know, to have
that knowledge is power, you know.

(58:23):
So anyway, she's definitely bringing it.
So super, super exciting stuff.
Something else that caught my brain in
there. I found it very interesting what
she said about women responding to like,
you know, traumatic or violent events or
whatever by releasing what was it?
Oxytocin instead of the cortisol.

(58:46):
And instead of responding with like
anger or rage, things like that, they
0actually see it as a bonding opportunity 1500 00:58:53,1000 --> 00:58:56,800 with their community. Yeah, which to
me just. Speaks to why we should start
putting women in charge of things.
Because when bad things happen, women, we
band together. Yeah, like men get mad

(59:06):
and women get together. Like guys want to
go out and punish somebody for it. Where
women are like, hey, let's get together
and talk about this. Best reason I've
ever heard to start electing women to
high office. Let's do it.
I mean, I I think I said in episode one
that I've been, you know, advocating for
the rise of the matriarchy for a long
time now. So I'm here for it. I want to

(59:26):
be part of it. That's probably what part
of the reason why you put me on this
podcast. I mean,
it's why I'm right for the job, I guess.
You were perfect. But yeah,
anything else before we wrap it up?No, I
think that's it. I'm just. Now I just.
I'm getting on the wait list. There you
go. Well, I want to know how much longer
this torture I have to go through. I

(59:47):
know. It's like every time we do an
episode, you have to sign up for
something. I know. Then I'm like, I'm
going to be broke. You're going to have
so many, so many subscriptions. You're
not going to know what's going on. I
know. But if you liked what you heard in
this episode, please take a minute to hit
all those happy little fun buttons,
whatever platform you're on, the likes
and subscribes. Maybe share it with a
friend. Hit the auto download so you
never miss a beat. Things like that. We

(01:00:09):
are on all the audio platforms. We are on
YouTube. We have a
Patreon for as little as a dollar a
month. So we're accessible all over the
place. But where else do they find us,
Heather?You can visit us online
on healthcareuprising.com
and of course, all of the social media
platforms like Blue Sky,

(01:00:31):
LinkedIn, Instagram, Facebook.
So yeah, we're everywhere. And
just follow us out there. We'll drop our
episodes and post when we're when they're
coming on on their drop date and
share lots of the really cool things that
the good folks that come on this show are
doing. So great place to just kind of
continue learning. Also,

(01:00:53):
we are always looking for new stories
from and and new products and new
programs and all the really cool stuff
happening in the innovation space and
healthcare. So if you're a founder,
you're. Rep you represent a company,
you've got something really cool that
you're working on. We want to talk to
you. And we also want the human stories
that help kind of, you know, tie the room

(01:01:15):
together. Got to
drop a little a Lebowski in there. That's
a nice rug. Thank you. And we
just, we want to hear from you. We want
to bring you on the show. We can't do
this without the human stories. So shoot
us an e-mail at
[e-mail].
And reach out and we'll get you
scheduled. So with

(01:01:36):
that, I think this is our last dose of
healthcare for today. It's about as much
as I can take today. Yeah, I don't know.
So folks, keep looking for the good in
the world because sometimes it is where
you least expect it.