Predicting Alzheimer’s: Generating Neural Networks to Detect the Neurodegenerative Disease


Every day we see examples of the impact of AI 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 AI algorithms have become smart enough to spot patterns in patient characteristics and treatments to provide discovery.

This talk will highlight a deep learning project in personalized medicine, leading to early detection of Alzheimer’s Disease for patients, finding contributing factors in historical diagnosis and medication, medical image recognition, and a demo of the decision support tool built for clinical facilities. This non-profit effort is lead by Foundation for Precision Medicine with partnership from Google, Stanford University, Yale School of Medicine, and Mayo Clinic. The deep learning algorithms are based on 100k Alzheimer’s patient record selected from 4 Million patients.

Topics Include:
• How to reinvent healthcare with data science for the future
• Challenges of healthcare industry with Alzheimer’s disease in the past decades
• Collaborative filtering methods to select patient control match groups
• Deep learning models to detect the disease early
• Transfer Learning and CNN models to detect the disease in MRI imaging
• Visualizing patient results and how to change the trajectory of disease
• Decision support dashboards to be implemented in Alzheimer’s facilities


Ayin Vala is the Co-founder and Chief Data Scientist at Foundation for Precision Medicine and Head of Data Science at Apri Health. His teams work on statistical analysis and machine learning, pharmacogenetics, and molecular medicine, and implementing these into apps and decision support tools. On this effort, he started partnerships with Stanford University, Mayo Clinic, Yale School of Medicine, and Google. Previously, he was a researcher and active resident at the Big Data Systems Laboratory at Harvard University School of Engineering, and at the Launch Laboratory and Innovation Laboratory at Harvard Business School. Ayin is the leading inventor of several patents and receiver of awards in applying machine learning in Healthcare, Biotechnology, and Aerospace industry, including a patent approved by NASA. He holds a Masters degree in Information Systems from Harvard University and resides in Silicon Valley.

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