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.
Recent Events
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Pratik Shah Invited as Expert Grant Reviewer for NIH Biomedical Informatics, Modeling and Data Science Study Section
November 19, 2025 - November 20, 2025 -
Zhengxu Tang Joins Lab as EECS PhD Student
October 26, 2025 -
Pratik Shah invited to speak at 2025 NCI Annual Program Meeting hosted by National Institutes of Health
August 19, 2025 - August 21, 2025 -
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