Deep Learning, Sequencing Technologies & Polygenic Scores: Alzheimer’s Disease Risk Prediction and Classification Review

Literature review examining limitations of traditional GWAS and weighted PRS methods for AD risk prediction, evaluating ML/DL-based alternatives, and proposing a multi-phase translational bioinformatics pipeline for clinical adoption with emphasis on explainability, dataset diversity, and regulatory compliance.

Role Graduate Student
Status Completed
Timeline Feb 2025 – Mar 2025

Tech Stack

Health Informatics Literature Review Deep Learning Genomics Polygenic Risk Scores