Welcome to the research group of Prof. Pratik Shah. We develop translational AI and biomedical technologies to advance diagnostic imaging, uncover biological mechanisms, and enable the clinical deployment of digital therapeutics.
As a computational medicine group, we invent deep learning, engineering, and biomedical technologies to generate novel biological and clinical insights. Our work integrates generative and predictive AI, with a focus on creating interpretable and explainable systems that enhance model effectiveness, safety, and clinical utility. The group develops equitable, responsible technologies that improve the diagnosis and treatment of cancer, infectious diseases, and neurological disorders, ultimately enhancing public health, patient outcomes, and clinical decision-making. Key areas of research include:
- Generative AI for tissue biopsy analysis: Nondestructive, slide-free histopathology image generation and digital staining.
- Deep learning technology for medical image analysis: Developing tools and methods for regulatory science evaluations of medical images and AI models for patient-centered care.
- AI-driven clinical decision support: Optimizing treatment strategies for infectious diseases and antimicrobial therapy.
- Biological insights: Using multimodal imaging and molecular assays for cellular-level analysis.
Pratik Shah Invited as Expert Grant Reviewer for NIH Biomedical Informatics, Modeling and Data Science Study Section
January 28, 2026
Bethesda, MD
Pratik Shah invited to speak at 2025 NCI Annual Program Meeting hosted by National Institutes of Health
August 19, 2025 - August 21, 2025
NCI Shady Grove, Rockville, MD
National Institutes of Health invites Pratik Shah as Expert Grant Reviewer for the Biodata Management and Analysis Study Section
June 26, 2025 -June 27, 2025
Bethesda, MD
National Science Foundation invites Pratik Shah as Expert Reviewer
January, 10 2025 - January, 10 2025
Alexandria, VA
Pratik Shah Invited to the FDA Digital Health Advisory Committee on Generative AI
November 20-21, 2024
Gaithersburg, MD
2018 - How AI is making it easier to diagnose disease
TEDGlobal, TED Conferences
2019 - Machine learning and computational medicine for clinical development, patients and regulators
American Society for Clinical Pharmacology and Therapeutics Annual Meeting, Washington, D.C.
2018 - Patient-centered digital clinical endpoints with novel machine learning and AI systems
National Academy of Science, Engineering and Medicine,