April 17, 2026 @ 10:00 – 11:00 CEST
Dinh Long Huynh
NBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms, typically between 10 and 11 am, with approx. 45 min presentation and 15 min discussion.
When: April 17, 10:00-11:00
Where: Zoom http://meet.nbis.se/ainw
Speaker: Dinh Long Huynh
Uppsala University (Ola Spjuth group)
Abstract
Artificial intelligence (AI) has been shaping drug discovery for decades — from the early use of predictive models to the recent explosion of generative AI. Today, we are entering a third wave: Agentic AI. Together with traditional predictive or generative models, as well as computational and robot execution tools, agentic AI embodies autonomy in drug discovery — it perceives its environment, reasons about goals, and takes actions with minimal human intervention. This talk explores the evolution from generative to agentic systems and why this shift matters for life sciences. We will unpack the architectural foundations of agentic AI, showing how they enable closed-loop discovery — where AI not only designs hypotheses or molecules but also plans, executes, refines, and learns from experiments. Through real-world case studies and a short live demonstration, we will illustrate how agentic AI can transform the research cycle — accelerating hypothesis generation, optimizing experiment design, and integrating multimodal data across biology and chemistry. We will also discuss the current challenges and the road ahead for agentic AI systems in biopharma R&D.
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