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Welcome to hubXchange's AI in Drug Discovery Xchange, Boston 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.

Boston | Wednesday 6th May 2026 | 08:00am - 06:10pm

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:
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
09:05
  1. Data Quality
    60 mins
    • Data Quality
    How do we ensure data quality and provenance for AI-driven decisions? What are the biggest challenges in integrating structured and unstructured data for AI tools? What role do agentic AI frameworks p ...
  2. Target Identification
    60 mins
    • Target Identification
    Moving from association to causality in target ID Cell-type resolution as the missing link towards biological relevance AI/ML as a decision-support layer, not a black box Operationalizing multi-omics ...
  3. Lead Generation & Optimization
    60 mins
    • Lead Generation & Optimization
    Where in the lead generation to optimization workflow is AI delivering the most measurable time savings today How can AI models be integrated with experimental design to reduce iteration cycles withou ...
  4. Drug Response Prediction
    60 mins
    • Drug Response Prediction
    How do we systematically account for missing biological complexity, such as tissue interactions, pharmacokinetics and microenvironment effects, when extrapolating from in vitro trained AI models to in ...
  5. Drug Design & Modeling
    60 mins
    • Drug Design & Modeling
    How reliable are current AI models at predicting ligand binding modes and affinities across diverse target classes What limitations in training data most impact the accuracy of binding and affinity pr ...
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

    Digital Science

  2. Target Identification
    60 mins
    • Target Identification
    How can augmented intelligence improve confidence in target identification when biological evidence is incomplete or conflicting What signals or criteria are most effective for separating true disease ...
  3. Lead Generation & Optimization
    60 mins
    • Lead Generation & Optimization
    How can advanced quantum chemistry workflows be integrated into existing AI driven lead generation and optimization platforms What infrastructure and compute challenges limit the deployment of high-fi ...
  4. Drug Response Prediction
    60 mins
    • Drug Response Prediction
    What sources of variability most commonly undermine reproducibility in AI driven drug response prediction models How can shared standards be defined without constraining model innovation and explorato ...
  5. Drug Design & Modeling
    60 mins
    • Drug Design & Modeling
    • How does variability in data preprocessing pipelines impact the reliability of structure based and ligand based modelling outcomes • Which preprocessing steps introduce the greatest uncertainty into ...
12:25
  1. Networking Lunch
    60 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
13:25
  1. Spotlight Presentation: Zero-Click QSAR and Deep Learning Models Embedded in Chemically Aware Workflows
    30 mins
    • Data Quality
    • Target Identification
    • Lead Generation & Optimization
    • Drug Response Prediction
    • Drug Design & Modeling
    CDD Vault introduces zero-click automated QSAR modeling, a fully hands-off AutoML system that continuously trains, evaluates, and deploys models using large-scale benchmarking and rigorous cross-valid ...
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
15:10
  1. Spotlight Presentation: Multimodal Fusion of Empirical Structural Data and Deep Learning for Improved Modeling of Antibody–Antigen Complexes
    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. Data Quality
    20 mins
    • Data Quality
    Accurate protein structure prediction is increasingly central to AI driven drug discovery, yet variability in structural data quality continues to limit model reliability. This poster explores the cha ...
  2. Target Identification
    20 mins
    • Target Identification
    Tracing the history and tractability of datasets is critical for confident target identification, yet dataset provenance and suitability are often poorly understood. This poster examines how historica ...
  3. Lead Generation & Optimization
    20 mins
    • Lead Generation & Optimization
    Developing drug substances with improved efficacy and reduced side effects remains a central challenge in lead generation and optimization. This poster explores how AI driven computational solutions a ...
  4. Drug Design & Modeling
    20 mins
    • Drug Design & Modeling
    Translating real world and multi omic data into actionable target prioritization remains a significant challenge in AI driven drug discovery. This poster explores how heterogeneous data sources, inclu ...
  5. Drug Response Prediction
    20 mins
    • Drug Response Prediction
    Applying omic data analytics to predict personalized drug response holds significant promise, yet translating complex biological signals into reliable predictions remains challenging. This poster expl ...
16:10
  1. Target Identification
    60 mins
    • Target Identification
    • How can we improve our understanding of disease biology and identify new targets? • How can we enhance the translation of our models into meaningful outcomes? • How can we design and execute more ef ...
  2. Lead Generation & Optimization
    60 mins
    • Lead Generation & Optimization
  3. Drug Response Prediction
    60 mins
    • Drug Response Prediction
    How can the integration of multi omic data and real-world evidence be used earlier in drug discovery to inform target selection, indication choice and responder hypothesis generation? What limitations ...
  4. Drug Design & Modeling
    60 mins
    • Drug Design & Modeling
17:10
  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

Boston
6 May 2026
Wednesday 6th May 2026

 

Hilton Woburn Hotel

VENUE

Hilton Munich Airport Hotel

2 Forbes Rd
Woburn
MA 01801
United States

MAP

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.