AI in Drug Discovery Xchange 2026

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 Identification, Lead Generation & Optimization, Drug Response Prediction and Drug Design & Modeling.

Attendees can engage in roundtable discussions, pre-booked 1:1 meetings, presentations, 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 - 05:45pm

VIEW AGENDA REGISTER FOR FREE OUR PARTNERS EVENT INFORMATION

Why choose hubXchange?

Click the topic titles to find out more!

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Registration

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

Opening Address & Keynote Presentation:

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

Data Quality

Improving AI outcomes by standardizing data annotation across discovery platforms

60 mins
- Data Quality
Target Identification

Using transcriptomics, GWAS and single cell data together with advanced applied AIML models to uncover novel therapeutic targets

60 mins
- Target Identification
Iulian Pruteanu-Malinici, Senior Director, Bioinformatics - Pioneering Medicines
Lead Generation & Optimization

Use of AI to reduce timeline of lead generation to optimization (Topic TBC)

60 mins
- Lead Generation & Optimization
Drug Response Prediction

Improving in-vivo predictability of AI models trained on in-vitro data (Topic TBC)

60 mins
- Drug Response Prediction
Drug Design & Modeling

Using AI to model ligand binding to target proteins and affinity predictions

60 mins
- Drug Design & Modeling
Govinda Bhisetti, Vice President, Computational Chemistry - Cellarity

1-2-1 Meetings / Networking Break

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

1-2-1 Meetings / Networking Break

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

Morning Refreshments

10 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction

Data Quality

Accelerating Drug Discovery: AI's role in sifting through scientific knowledge

60 mins
- Data Quality
Target Identification

Augmented intelligence in drug target identification: separating facts from fables and fiction

60 mins
- Target Identification
Lead Generation & Optimization

Sponsor Led Roundtable Discussion: Breaking the Ground Truth Data Barrier - Using advanced quantum chemistry to provide high-quality training and co-inference data for physics- and AI-enhanced prediction of molecular properties

60 mins
- Lead Generation & Optimization
Drug Response Prediction

Sponsor Led Roundtable: Creating Shared Standards for Reproducible Progress in AI Drug Response Prediction

60 mins
- Drug Response Prediction
Drug Design & Modeling

Sponsor Led Roundtable: Variability in preprocessing pipelines reduces confidence in results

60 mins
- Drug Design & Modeling

Networking Lunch

60 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

Spotlight Presentation:

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

1-2-1 Meetings / Networking Break

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

1-2-1 Meetings / Networking Break

30 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling

Afternoon Refreshments

10 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction

Data Quality

Poster Presentation: Integrating Protein Structure Prediction into AI Pipelines: Ensuring Data Quality for Reliable Drug Discovery

30 mins
- Data Quality
Target Identification

Poster Presentation: Tracing the history and model tractability of datasets

30 mins
- Target Identification
Lead Generation & Optimization

Poster Presentation: Developing drug substances using AI-driven computational solutions with increased efficacy and reduced side effects

30 mins
- Lead Generation & Optimization
Drug Design & Modeling

Poster Presentation: Translating Real-World & Multi-Omic Data into Target Prioritization for Drug Discovery

30 mins
- Drug Design & Modeling
Drug Response Prediction

Poster Presentation: Applying omic data analytics for personalized drug response prediction

30 mins
- Drug Response Prediction

Data Quality

Talking with the Data: Building AI Agent Infrastructure for Collaborative Drug Discovery

60 mins
- Data Quality
Target Identification

Data as the foundation for AI driven target identification (TBC)

60 mins
- Target Identification
Lead Generation & Optimization

Harnessing AI-powered de novo design to navigate the hit-to-lead optimization journey (Topic TBC)

60 mins
- Lead Generation & Optimization
Drug Response Prediction

Training AI models on cell line and patient-derived data to improve response prediction

60 mins
- Drug Response Prediction
Drug Design & Modeling

From model to molecule: Accelerating GPCR drug discovery with AI, novel chemistry, and under explored biology

60 mins
- Drug Design & Modeling

Drinks-Canape Reception

60 mins
- Data Quality
- Target Identification
- Lead Generation & Optimization
- Drug Response Prediction
- Drug Design & Modeling