Decoding Alzheimer’s Disease Genomes With Deep Learning
Principal Investigator
Mentors
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Towfique Raj, PhD
Project Goals
This research aims to unravel the genetic and molecular mechanisms of Alzheimer's disease using machine learning that predicts the impact of genetic mutations on biological functions.
Project Summary
Dr. Naito’s research aims to unravel the genetic complexities of Alzheimer's disease. This project has two primary objectives: to develop a pipeline to predict the impact of genetic mutations on RNA processing in brain cells by state-of-the-art machine-learning technologies and to investigate how genetic mutations have an impact on individuals with Alzheimer’s via RNA processing by applying this pipeline to huge genomic data. A better understanding of genetic associations of Alzheimer’s will help in developing new treatments and identifying biomarkers.
Publications
First published on: July 29, 2024
Last modified on: September 08, 2024