Data Science Innovation: Driving Alzheimer's Disease Insights

For years, data analytics has been used in healthcare to fuel faster and more accurate diagnoses, inform decision-making, personalize treatment, improve patient care and outcomes, lower costs and more. With recent advances in the use of big data and generative artificial intelligence, more organizations are exploring new ways to apply these modern data science tools to address persistent healthcare challenges.

One of the key challenges in advancing care for the growing population living with Alzheimer’s disease and related dementias is the aggregation of meaningful insights from a wide range of disparate sources of raw data, including electronic health records (EHRs), personal health records, patient portals and health-related smart phone apps, in addition to large amounts of unstructured data, strict data privacy and security regulations and a variety of data formats.

To drive innovation forward in this space, MATTER recently launched the Restoring Brain Health Innovation Challenge with support from the Lundbeck US Charitable Fund to identify and accelerate the development of data science technologies that can generate novel insights from disparate sources to advance care in Alzheimer’s disease and related dementias.

On September 18, join Mary Furlong, leader in the longevity market, Elizabeth Powers, Vice President and General Manager, US Regulatory Science & Study Innovation at IQVIA and Ryan Urbanowicz, Research Scientist, Computational Biomedicine at Cedars-Sinai Medical Center and Co-Lead, Tech ID and Training Core, PennAITech/a2Collective.ai for a conversation exploring this topic.

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