Afrah Shafquat

Senior Data Scientist AI | Medidata

Afrah Shafquat is a Sr. Data Scientist II at Medidata, a Dassault Systemès company where she leads synthetic data solutions in clinical trials. At Medidata, her work focuses on innovative solutions to generate synthetic data, synthetic data evaluation (fidelity and privacy metrics), and new use cases for synthetic data. She has a Ph.D. in Computational Biology from Cornell University and an S.B. in Biological Engineering from Massachusetts Institute of Technology.

All Sessions by Afrah Shafquat

  • May 1, 2024

    Wednesday

  • 11:30 AM  - 12:15 PM
    In tandem with AI, the transformative potential of computational modeling and simulation is set to revolutionize clinical trials, providing a compelling vision of how these advanced digital technologies can minimize risks, cut costs, and expedite the product approval process.

    Medical device development has already employed modeling and simulation for product development and early-stage product testing. The latest advances now allow for continued operations in virtual environments throughout the clinical trial stage. This includes generating virtual patient cohorts for treatment arms and synthetic patients for control arms, offering an innovative approach to trial design, and streamlining the assessment of novel treatments.

    This session will explore the convergence of these technologies and present compelling evidence of progress, including recent collaborative efforts with the FDA in developing a groundbreaking blueprint for utilizing these advanced approaches, representing a significant step towards a more efficient and patient-centric future in device development.

    Sponsored By
    New Product Development
    Where
    161




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Afrah Shafquat