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D2.S2. - Data Science Enabling Real-Time Decision Making (Reducing Time From Molecule To Medicine)
Session Chair(s)
Chitra Lele, PHD
Managing Director, Life Sciences Consulting, NTT DATA, India
This session highlights how data science is accelerating drug development and reducing time to market through real-time decision-making. Discussions will cover the application of AI/ML in patient identification and recruitment, the use of continuous monitoring for early detection of protocol deviations and safety signals, and the integration of real-world data with innovative study designs to streamline development—underscoring the power of data-driven insights to enhance clinical development efficiency and deliver better outcomes for patients.
Speaker(s)
Shreenath Sreenivas
Director, Drug Development Business Insights & Technology India, Bristol Myers Squib, India
Data-driven Approach To Patient Identification And Recruitment
Bijal Trivedi
Project Manager, Tata Consultancy Services, India
Continuous Monitoring For Early Detection Of Protocol Violations, AE Patterns, And Safety Risks
Angshuman Sarkar
Senior Director Head Statistics, GlaxoSmithKline (GSK), India
Innovative Study Designs And Use Of Real-world Data To Expedite Development Timelines