Role of AI and Real-World Data in Healthcare

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Real-World Data and AI Applications in Healthcare

Generative AI and image recognition have dominated recent headlines—but behind the scenes, real-world data (RWD) and AI are quietly transforming how healthcare is delivered, evaluated, and improved.

Join Ashwin Rai, Senior IEEE Member and Director of Data Science & Advanced Analytics at Thermo Fisher Scientific, for an insightful seminar on how real-world data and machine learning are driving innovation in healthcare. Drawing on over 16 years of experience, Ashwin will share practical case studies on how data science is being used to model patient journeys, predict disease, optimize clinical trials, and improve health outcomes.

This talk is especially relevant for students, engineers, and early-career professionals interested in the growing intersection of data science, healthcare, and AI.


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  • Starts 11 June 2025 03:00 AM UTC
  • Ends 19 June 2025 10:00 PM UTC
  • No Admission Charge

  Speakers

Ashwin Rai of Thermo Fisher Scientific

Biography:

Speaker HeadshotAshwin Rai is a seasoned data science leader with over 16 years of experience in real-world data (RWD) analytics, machine learning, and AI applications in healthcare. As Director of Data Science & Advanced Analytics at Thermo Fisher Scientific, he leads global AI initiatives within the PPD Evidera Real-World Data & Scientific Solutions group.

His expertise includes predictive modeling, patient stratification, health outcomes research, and social media analytics, all aimed at generating real-world insights and supporting data-driven decisions. Ashwin enables top pharmaceutical companies—including Pfizer, Takeda, Sanofi, GSK, and AstraZeneca—through scalable, cloud-based RWE platforms.

Previously, he led data science efforts at PRA Health Sciences and EPSi (Allscripts), advancing clinical trial design, hospital analytics, and NLP-based insights. Ashwin is a frequent speaker at international forums including PHUSE, ISPOR, the FDA Innovation Challenge, SCDM Japan, and the Japanese Society of Computational Statistics. He currently serves as Co-Chair of the PHUSE Real-World Evidence Working Group and Member Engagement Co-Chair for ISPOR’s RWE SIG. His work has been published in Value in Health, ESC Heart Failure, and BMC Medical Research Methodology.

He holds a BE from VTU, India, and an MSc in Predictive Analytics from Northwestern University. Ashwin is a Senior Member of IEEE.

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Agenda

  • Welcome & Introductions

  • Featured Talk: Real-World AI in Healthcare

    • The role of RWD and AI beyond the generative AI buzz

    • Patient journey modeling & disease prediction

    • Clinical trial optimization & health outcomes research

  • Interactive Q&A

  • Closing


This event is hosted by the IEEE Kansas City Section and the IEEE Computer Society Chapter.