NIH R01 · 2025
Robust and Interpretable Multi-modal AI/ML for Precision Medicine
Project Summary Biomedical research increasingly leverages multi-modal data, including genomic, multi-omics, medical imaging, and clinical narratives, to advance precision medicine. The integration of these diverse data types is significant because it enables a comprehensive understanding of complex diseases, such as cancer and Alzheimer's disease, by combining the genetic, physiological, and clinical aspects of patient health. Such rich multi-modal data offer unparalleled opportunities for advancing precision medicine and improving health outcomes. However, the field faces several daunting challenges: (1) Complex and Heterogeneous Modalities: The integration of complex data types, such as…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.