Research Project

Robust and Interpretable Multi-modal AI/ML for Precision Medicine

Updated on August, 2025

Multi-modal AI/ML Interpretability Precision Medicine
Project Overview

This NIH-funded project focuses on developing robust and interpretable AI/ML models for precision medicine applications. The research aims to advance multi-modal biomedical data integration to improve clinical predictions and patient outcomes.

Key Focus Areas
  • Multi-modal AI/ML model development
  • Interpretable machine learning for healthcare
  • Biomedical data integration
  • Clinical prediction enhancement
Project Details

For detailed project information, funding details, and technical specifications, please visit the official NIH project page:

Funding
NIH Sponsor