Projects

Characterizing the Genetic Architecture of Neuropathology with Machine Learning

This team will study the brains of individuals who lived past ninety with their cognitive function intact, using advanced tissue imaging and computer science to understand mechanisms of resilience that could slow neurodegeneration and preserve brain health.

Award Year:

  • 2022

Funding Type:

  • Catalyst Awards

Keywords:

Research Summary

This team will study the brains of individuals who lived past ninety with their cognitive function intact, using advanced tissue imaging and computer science to understand mechanisms of resilience that could slow neurodegeneration and preserve brain health.

Research Team

Lead Researcher(s)

Maya Kasowski

Assistant Professor of Pathology, of Medicine (Pulmonary, Allergy and Critical Care Medicine) and, by courtesy, of Genetics

Team Members

  1. James Y Zou

    Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

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