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 offers an overview of a deep learning project in personalized medicine aimed at early detection of Alzheimer’s disease for patients. Ayin explores contributing factors in historical diagnosis and medication, discusses how the project uses medical image recognition, and shares a demo of the decision support tool built for clinical facilities. This nonprofit effort is led by the Foundation for Precision Medicine in partnership with Google, the Yale School of Medicine, and the Mayo Clinic. The deep learning algorithms are based on a 100K Alzheimer’s patient record selected from 4M patients.
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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