SUMMARY
Hu Li, Ph.D., improves patient care by developing state-of-the-art systems biology concepts, machine learning and artificial intelligence (AI) approaches to facilitate both scientific and medical discoveries. Dr. Li's research builds a unified manifold medicine framework to address individual patient needs to harness the power of machine learning and AI. He makes innovative computational tools to deepen the understanding of disease etiology, investigate tissue spatial architecture, decode disease heterogeneity and help identify the best medicine for each person. Dr. Li has a vision to integrate multidisciplinary knowledge into systems biology and AI frameworks for multiscale understanding of disease and design of bodywide treatment regimens.
Focus areas
- Integrate multidisciplinary knowledge and harness the power of systems biology and AI to enable multiscale modeling and understanding of diseases.
- Leverage the interaction of systems tools with generative AI to build bodywide tissue maps to facilitate new treatment designs and improve personalized medicine.
- Devise new biologically and medically inspired conceptual frameworks that explain systems behaviors of diseases. This explanation emphasizes the interconnectedness of its parts and considers nonlinear interactions in disease modeling and management.
Significance to patient care
The complexity of human diseases, collected with the multidimensional nature of big data from individual people, highlights the opportunity to use the power of state-of-the-art systems biology and AI. Systems biology and AI can unveil hidden patterns, and critical genes and gene-gene associations enabling the discovery of new therapeutic targets to guide treatment decisions.
Dr. Li works with the Mayo Clinic Comprehensive Cancer Center, immunology, aging and Alzheimer's teams to translate new findings to clinical practice. By embracing new conceptual frameworks, leveraging innovative systems biology and AI tools, Dr. Li bridges current knowledge gaps and promotes individualized care.
Professional highlights
- The Eric and Wendy Schmidt Fund for AI Research and Innovation, 2023.