Artificial intelligence and digital twins are probably the two most hyped information technologies of the 2020s. Yet both are already delivering practical benefits in fields ranging from industrial design and manufacturing to customer service and healthcare.
They are especially powerful when used together, with each helping to improve the other. Digital twins – virtual representations of real-world entities or processes – can supply the structured and comprehensive data AI needs for machine learning while AI adds analytical and predictive capabilities and automation that make digital twins more effective.
Technology vendors and researchers have been exploring ways AI-enabled digital twins can improve healthcare by, for example, virtualizing pharmaceutical trials, tailoring heart monitors to individual hearts or optimizing medical procedures. Some even envision someday building a digital twin of a patient.
In this podcast, Gary Shorter, head of AI at IQVIA, explains the challenges and potential of pairing digital twins with AI in healthcare. IQVIA provides data analytics technologies and clinical research services to the life sciences industry.
Other topics discussed in the podcast include:
- Why digital twins of patients are probably a long way off
- Benefits of more narrowly focused digital twins of hearts, eyes and other organs
- Ways AI and digital twins are being used now
- Technology segments that are driving development of digital twins in the life sciences
Host: David Essex, Industry Editor, TechTarget
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