AI in Drug Discovery Roundtables - San Francisco

ABOUT THE EVENT

Date: Tuesday, September 16, 2025 8am–6:05pm PDT
Event Location: San Francisco , California

hubXchange is pleased to present the AI in Drug Discovery Xchange – San Francisco 2025, a high-level, invitation-only event tailored for senior executives and scientists. This unique forum explores the most pressing scientific and strategic challenges across the therapeutic and development pipeline for oligonucleotides and peptides.

Focus Tracks

  • Data Quality

  • Target Identification

  • Lead Generation & Optimization

  • Drug Response Prediction

  • Drug Design & Modeling

🔹 Why Attend?

✅ Join thought-provoking roundtables led by leading researchers and developers
✅ Discover emerging tools, technologies, and delivery systems in nucleic acid and peptide therapeutics
✅ Network in pre-booked 1:1 meetings with key stakeholders
✅ Explore cutting-edge poster and spotlight presentations
✅ Collaborate on next-gen delivery, safety, and scalability solutions

🔹 Agenda Highlights

  • Keynote Presentation
    AI and the Perpetual Research Cycle: Accelerating Drug Discovery through Enhanced Literature Analysis
    – Mark Hahnel, Digital Science

  • Expert-Led Roundtables

    • Standardizing data annotation to improve AI outcomes – Verseon

    • Single-cell and transcriptomic data for novel target ID – Gilead Sciences

    • Reducing lead optimization timelines using AI – Model Medicines

    • Bridging AI predictions and clinical drug response – Shenandoah Therapeutics

    • AI-powered modeling of ligand binding/off-targets – Aikium Inc.

    • Integrating protein structure prediction into AI workflows – Rise Bio

    • AI for predicting on/off-target effects – Arsenal Biosciences

    • Training AI models with patient-derived data – Amgen

    • GPCR discovery with AI and novel chemistry – Nalu Bio

  • Additional Industry Perspectives

    • Augmented intelligence for target ID – Elsevier

    • Unlocking hidden catalysts for AI success – CDD Vault

    • AI-driven literature synthesis and insight mining – Digital Science

  • Spotlight Presentations

    • Chemically aware AI workflows for discovery – James White

    • (Additional speaker TBC)

  • Networking & Partnering

    • Pre-arranged 1:1 meetings

    • Networking lunch and evening drinks reception

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