Machine learning and artificial intelligence have had a noticeable impact on the transportation, information technology, and finance sectors, but these successes have not been fully realized in medicine. However, that is changing. Computing has become very powerful, and analytics algorithms have become smart enough to spot patterns in patient characteristics and treatments to provide discovery.
Ayin Vala explains how to use the power of big data and AI to treat challenging diseases with personalized medicine, which takes into account individual variability in medicine intake, lifestyle, and genetic factors for each patient, leading to better care for patients and saving cost for hospitals. Ayin offers an overview of a project funded by the National Institute of Aging to help identify Alzheimer’s disease patients at high risk of hospitalization, using medication regimens, comorbidities, risk factors, and care programs.
Ayin Vala is the founder of DeepMD and cofounder and chief data scientist at the nonprofit organization Foundation for Precision Medicine, where he and his research and development team work on statistical analysis and machine learning, pharmacogenetics, molecular medicine, and sciences relevant to the advancement of medicine and healthcare delivery. Ayin has won several awards and patents in the healthcare, aerospace, energy, and education sectors. Ayin holds master’s degrees in information management systems from Harvard University and mechanical engineering from Georgia Tech.
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