October 23 to 24 2017, New York, USA.

Speakers

Speaker "Ayin Vala" Details

Name :
ayin vala
Title :
Chief Data Scientist
Topic :

Reinventing Healthcare: Predicting Alzheimer’s Disease With Machine Learning

Abstract :

Every day we see examples of the impact of machine learning and artificial intelligence in transportation, information technology, finance, and other sectors. However, the transformative impact has not been fully realized in medicine and especially personalized medicine. Computing has become very powerful and analytics algorithms have become smart enough to spot patterns in patient characteristics and treatments to provide discovery. Complex disease processes like Alzheimer’s Disease cannot be cured by pharmaceutical or genetic sciences alone and current treatments and therapies lead to mixed successes. By introducing more data-driven investigation we can take into account individual variability in medicine intake, lifestyle, and genetic factors for each person and use the power of big data and artificial intelligence to treat challenging diseases. This talk will highlight few of our machine learning projects in personalized medicine, leading to better care for patients and saving cost for hospitals. The focus will be on a project funded by National Institute of Health, that would help identify Alzheimer’s Disease patients at high risk of hospitalization, using medication regimens, comorbidities, risk factors, and care programs.

Profile :
Ayin is the Co-Founder and Chief Data Scientist of the non-profit organization Foundation for Precision Medicine. His research and development team works on statistical analysis and machine learning, pharmacogenetics, molecular medicine, and sciences relevant to the advancement of medicine and healthcare delivery. Ayin has several years of experience in machine learning, possessing several awards and patents in Healthcare, Aerospace, Energy, and Education sectors. He holds Master degrees in Information Management Systems from Harvard University and in Mechanical Engineering from Georgia Tech, and resides in Silicon Valley. He also volunteers at DataKind leading machine learning efforts in humanitarian projects.
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