Event Date: Saturday, 22 November 2025
Location: Bengaluru, India
About the Event
The PHUSE Single Day Event (SDE) in Bengaluru will explore how emerging technologies like AI, ML, RPA, and intelligent data systems are transforming clinical data science. As the industry shifts toward automation and real-time analytics, this event focuses on practical strategies, regulatory considerations, and success stories from across the clinical research ecosystem.
Speakers from organizations such as Google, AstraZeneca, Merck, Eli Lilly, Johnson & Johnson, Hexaware Technologies, and PointCross Life Sciences will share insights into how technology is enabling faster, smarter, and more reliable clinical data operations.
PointCross Presentation
Topic: From Protocol to SDTM: Automating Trial Design with Large Language Models
Speakers: Haris Khan and Arpitha Hanumanthaiah, PointCross Life Sciences
In this session, our experts will demonstrate how Large Language Models (LLMs) can streamline the process of transforming trial protocols into CDISC SDTM datasets, reducing manual effort while ensuring accuracy and compliance. Attendees will learn how AI-driven automation can shorten study setup timelines and enhance regulatory submission readiness.
Why This Matter
With data now being generated from multiple sources – including biomarkers, genomics, wearables, and eSource systems – the volume and complexity of clinical data continue to grow exponentially. PointCross’ focus on AI-powered clinical data automation and metadata-driven data integration directly aligns with the event’s mission to make clinical data management more intelligent, efficient, and reliable.
About PHUSE
PHUSE (Pharmaceutical Users Software Exchange) is a global community dedicated to data science and analytics in clinical research. Its Single Day Events serve as regional forums for sharing ideas, best practices, and technology advancements across the biopharma, regulatory, and technology sectors.
Join Us
Meet the PointCross team at PHUSE SDE Bengaluru 2025 to explore how automation, AI, and data standardization are redefining the future of clinical research.