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Predicting Alzheimer’s: Generating neural networks to detect the neurodegenerative disease

Ayin Vala (DeepMD | Foundation for Precision Medicine)
4:00pm-4:40pm Thursday, September 6, 2018
Implementing AI
Location: Yosemite BC
Secondary topics:  Deep Learning models, Health and Medicine
Average rating: *****
(5.00, 1 rating)

Who is this presentation for?

  • Data scientists, engineers, and healthcare experts

Prerequisite knowledge

  • Familiarity with machine learning and deep learning methods

What you'll learn

  • Learn how to tackle obstacles of utilizing data science in the healthcare industry, use collaborative filtering methods to select control match groups, develop deep learning models to detect the disease early in patients, and use transfer learning in image recognition CNN models to detect disease in MRI imaging
  • Understand why Alzheimer’s disease is so challenging and how data science can help and how a nonprofit developed products for clinical facilities to implement AI


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.

Topics include:

  • How to reinvent healthcare with data science for the future
  • Healthcare industry challenges with regard to 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
Photo of Ayin Vala

Ayin Vala

DeepMD | Foundation for Precision Medicine

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.