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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)
Data-driven Approach To Patient Identification And Recruitment
Shreenath Sreenivas
Bristol Myers Squib, India
Director, Drug Development Business Insights & Technology India
Continuous Monitoring For Early Detection Of Protocol Violations, AE Patterns, And Safety Risks
Bijal Trivedi
Tata Consultancy Services, India
Project Manager
Innovative Study Designs And Use Of Real-world Data To Expedite Development Timelines
Angshuman Sarkar
GlaxoSmithKline (GSK), India
Senior Director Head Statistics