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Welcome to hubXchange's AI in Drug Discovery Xchange, San Francisco 2026.

This event brings together senior-level scientists and executives from the pharmaceutical and biotech sectors to tackle key challenges in Data Quality, Target IdentificationLead Generation & OptimizationDrug Response Prediction and Drug Design & Modeling.

Attendees can engage in roundtable discussions, pre-booked 1:1 meetingspresentations, and networking sessions with top industry experts, to foster collaboration and find innovative solutions to accelerate AI in Drug Discovery.

Take advantage of this unique highly interactive meeting format designed for maximum engagement, collaboration and networking.

San Francisco | Wednesday 9th September 2026 | 08:00am - 06:20pm

VIEW AGENDA    REGISTER FOR FREE    OUR PARTNERS    EVENT INFORMATION

Why choose hubXchange?


 

 

FULL AGENDA

Click the topic titles to find out more!

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08:00
  1. Registration
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
08:30
  1. Opening Address & Keynote Presentation: The Data Behind the Agent: Why AI Workflows Fail Without the Right Foundation
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
    As pharmaceutical R&D embraces multi-agent AI systems, the bottleneck is shifting. The challenge is no longer whether AI can reason over scientific literature — it's whether the data feeding these sys ...
09:05
  1. Data Quality
    60 mins
    • Data Quality
    What drug discovery problem are you working on that requires multi-modal datasets to address? For your problem-space, what kinds of data are required to train models? Do you have an existing integrate ...
  2. Target Identification
    60 mins
    • Target Identification
    High-dimensional transcriptomic data can generate a long list of interesting signals. How do you distinguish a biologically meaningful, druggable node from a statistically interesting one? Where do yo ...
  3. Lead Generation & Optimization
    60 mins
    • Lead Generation & Optimization
    Given novel targets with no known chemical matter, how can AI/ML help identify hit molecules in either structure-based or structure-agnostic ways? How can AI/ML be coupled with experimental methods su ...
  4. Drug Response Prediction
    60 mins
    • Drug Response Prediction
    Causality from Real-World Data How can we reliably distinguish true drug-induced effects from confounding and bias in FAERS and EHR data? Predicting Rare Toxicities What approaches actually work for p ...
  5. Drug Design & Modeling
    60 mins
    • Drug Design & Modeling
    • What defines a next-generation biomarker, and how are advances in multi-omics, imaging, liquid biopsies, single-cell sequencing, and spatial biology reshaping biomarker discovery? • How can artifici ...
10:10
  1. 1-2-1 Meetings / Networking Break
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
10:45
  1. 1-2-1 Meetings / Networking Break
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
11:15
  1. Morning Refreshments
    10 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
11:25
  1. Data Quality
    60 mins
    • Data Quality
    How are research teams combining external knowledge bases like literature, patents, trials, grants, and datasets, and where does it break down? What are organizations looking for from external data pr ...

    Digital Science

  2. Target Identification
    60 mins
    • Target Identification
    Integrating internal vs external evidence: where do knowledge graphs and shared ontologies solve target-data harmonization, and where do they just move the problem? Attaching provenance and confidence ...

    Elsevier

  3. Lead Generation & Optimization
    60 mins
    • Lead Generation & Optimization

    Cresset Group

12:25
  1. Networking Lunch
    60 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
13:25
  1. 30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
14:00
  1. 1-2-1 Meetings / Networking Break
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
14:30
  1. 1-2-1 Meetings / Networking Break
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
15:00
  1. Afternoon Refreshments
    10 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
15:10
  1. Spotlight Presentation: Bridging the Structural Data Gap for Discovery
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
    We present a multimodal AI framework that fuses radical footprinting data with deep learning to more accurately model antibody–antigen complexes, including disordered and hypervariable interfaces. Usi ...
15:45
  1. Target Identification
    30 mins
    • Target Identification
    Single cell profiling at a massive scale for applications such as target identification and biomarker discovery requires compatibility with diverse clinical sample types like blood, fresh or frozen ti ...

    10x Genomics

  2. Lead Generation & Optimization
    30 mins
    • Lead Generation & Optimization
    AI-driven protein and antibody design platforms can rapidly generate large candidate sets, but timely experimental data remains a key limitation for effective lead identification and optimization. Her ...

    GenScript

16:20
  1. Data Quality
    60 mins
    • Data Quality
    What is your individual role with data and what are the main categories of data you plan to expose to AI in the upcoming year? Share an example of where you've seen data used out-of-context in a meta- ...
  2. Lead Generation & Optimization
    60 mins
    • Lead Generation & Optimization
     AI-discovered molecules show a 2X Phase I success rate against a historic averages  — is that evidence of genuinely better molecule selection? What are typical and best-in-class hit rates for AI-disc ...
  3. Drug Response Prediction
    60 mins
    • Drug Response Prediction
    How can multi-omic data — including genomics, transcriptomics, proteomics, single-cell data, and functional assay data — be used more effectively to uncover disease biology and identify actionable the ...
  4. Drug Design & Modeling
    60 mins
    • Drug Design & Modeling
    Signal vs. Noise: How do we effectively integrate messy, diverse Real-World Data (RWD) with highly variable multi-omic datasets without drowning out true biological signals? Causality over Correlation ...
17:20
  1. Drinks-Canape Reception
    60 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling

EVENT INFORMATION

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DATES

San Francisco
Sept 9, 2025

Wednesday 9th September 2026

 

DoubleTree by Hilton San Francisco Airport Hotel Photo

 

VENUE

 

 

DoubleTree by Hilton San Francisco Airport Hotel

DoubleTree by Hilton
San Francisco Airport Hotel
835 Airport Blvd, Burlingame
California, 94010-9949

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EVENT PARTNERS

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REGISTRATION FORM - Register for free!

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Complimentary Registration is only available for Senior Scientists & above, in Pharma & Bio Tech, with an active drug pipeline.

 

For Service Providers, please click here.