PRATIK SHAH

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.

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.

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2018 - Patient-centered digital clinical endpoints with novel machine learning and AI systems

National Academy of Science, Engineering and Medicine,