We're sorry, but we couldn't find any results that match your search criteria. Please try again with different keywords or filters.

Loading
8:00 AM
  1. Registration
9:00 AM
  1. Workshop 3
  2. Workshop 4
  3. Workshop 1
  4. Workshop 2
11:00 AM
  1. Workshop 5
  2. Workshop 6
  3. Workshop 7
  4. Workshop 8
12:30 PM
  1. Lunch & 1-1 meetings
1:30 PM
  1. Welcome & Chair's Opening Remarks
1:40 PM
  1. C-suite Panel: AI Strategy, Leadership and Transformation in Pharma
2:30 PM
  1. Google Cloud Session
3:00 PM
  1. Foundation Models: Opportunities, Challenges, and What’s Next
3:30 PM
  1. Bullfrog Session
4:00 PM
  1. Afternoon Break
4:30 PM
  1. Vultr Session
5:00 PM
  1. Innovation Showcase & Reverse Pitches
6:30 PM
  1. Networking drinks
8:00 AM
    Registration
    Registration
    Registration
    Registration
    Registration
    Registration
9:00 AM
    Exec Panel: From AI Pilots to Scaled Impact in Clinical Trials
    Executive panel: Data considerations in the AI era
    Operationalizing AI in Discovery Biology: From Target Hypothesis to Translational Decision-Making
    Executive Panel: Unlocking data for improved manufacturing outcomes
    Executive panel: Building AI-Ready R&D Infrastructure: From Pilot Environments to Enterprise Scientific Compute
    Discuss how biopharma organizations are moving beyond fragmented AI pilots to build shared, enterprise-grade compute environments for discovery and development. Compare the strategic choices between c …
    Scaling AI for Drug Design and Optimization
9:30 AM
    Lambda Labs How Lambda is powering open source model training to unlock drug discovery breakthroughs
    Scaling Scientific Capacity: Giving Every Researcher a Team AI scientists
10:00 AM
    Validation, Transparency Audit - What Regulators Now Expect from AI
    Semantics and improving the FAIR status of both systems and data
    AI for Mechanism-Driven Precision Medicine: Connecting Target Biology to Patient Context
    Hybrid Cloud for Scientific AI: Designing the Right Balance Between On-Prem, Cloud and Colocation
    AI-Native Molecular Design: Generative Models, Agents and Closed-Loop Chemistry
    From Data to Decisions - Enabling AI-Driven Manufacturing Through Process Monitoring Data Maturity
10:30 AM
    Networking break
    Networking break
    Networking break
    Networking break
    Networking break
    Networking break
11:30 AM
    AI-Guided Functional Genomics: From CRISPR Screens to Causal Target Commitment
    AI-Powered Hit Discovery: Virtual Screening at Ultra-Large Scale
    Scaling GPU Infrastructure for Drug Discovery: From Model Training to Scientific Compute
    Where AI Meets Self-Advocacy
    Building AI-ready data platforms
    Cross functional lessons to improve AI deployment in process development and manufacturing
12:30 PM
    Diverse Enrolment
    From Sequence to Function: Foundation Models as the New Engine of Target Discovery
    New ways to do Agentic Data Science
    Structure-Guided Hit Expansion: From Binding Mode to Lead Series
    From Infrastructure to Enablement: Designing Scientific Platforms for Speed, Scale and Reproducibility
    Connecting process development and manufacturing improving tech transfer
1:00 PM
    Lunch
    Lunch
    Lunch
    Lunch
    Lunch
    Lunch
2:15 PM
    Streamlining data flows across organizations
    Mapping Disease Biology with Single-Cell and Spatial AI
    AI-Accelerated Lead Optimization: Physics-Informed Multi-Parameter Molecular Design at Scale
    Early Phase AI Impact
    Scientific Foundation Models at Scale: What Infrastructure Changes When Models Become Core R&D Assets?
    Applying AI, PAT and Real-Time Analytics in process development and manufacturing
3:15 PM
    Data organization and classification
    From Data to Decision: Building AI-Enabled Infrastructure for Clinical Trial Execution
    AI-Enabled High-Content Biology: Extracting Mechanism from Imaging and Multi-Omics
    AI for Retrosynthesis and Reaction Prediction
    Scalability and Quality Impact in AI in process development
    From Pilot to Production: Guardrails, Failure Modes and Error Propagation in Agentic AI Workflows
3:45 PM
    Networking break
    Networking break
    Networking break
    Networking break
    Networking break
    Networking break
4:30 PM
    Self-Evolving AI Agents for Clinical Trial Planning
    Federated Learning to Build Models in Proprietary Data without Data Sharing
    Agentic AI for Experimental Design: Closed-Loop Biology in Target Validation
    Closed-Loop DMTA: Automation in Molecular Optimization
    HPC for Molecular Simulation and Structure-Based Discovery: From Docking Queues to Physics-Rich Decision Support
    Sandboxes, stewards and the governance gap
5:30 PM
    Metadata standards and Semantic Consistency
    Generative AI for Target Hypothesis Design: Moving Beyond Pattern Recognition
    Decision-Grade ADME and Property Prediction
    Buying, Building or Partnering: The New Sourcing Model for Scientific Compute
    Linking critical attributes to process performance insights
    Scaling agentic AI systems across R&D use cases
6:00 PM
    Drinks Reception
    Drinks Reception
    Drinks Reception
    Drinks Reception
    Drinks Reception
    Drinks Reception
7:00 PM
    Invite only dinners
    Invite only dinners
    Invite only dinners
    Invite only dinners
    Invite only dinners
    Invite only dinners
8:00 AM
    Registration
    Registration
    Registration
    Registration
    Registration
    Registration
9:00 AM
    Building the AI Ready Data Layer
    Measuring Real Impact: Is AI Improving Chemistry Success Rates?
    Decision enhancement to improve time to market
    Assessing AI ROI in Clinically Anchored Target Identification and Validation
    Data stewardship & accountability
    What Comes After Discovery? Extending Scientific Compute Strategy Across Development and Operations
9:30 AM
    Thinking in 10,000 Dimensions: Hyperdimensional Computing as the Bio-Native Layer of Drug Discovery
10:00 AM
    Embedding AI into Regulated Workflows
    From DeepFold to Deep Function: AI for Protein Interactions, Structure and Druggability Assessment
    AI for Targeted Protein Degradation: PROTAC and Molecular Glue Design
    Real-Time Scientific Compute in the Lab: Building Infrastructure for Closed-Loop R&D
    Auditability, provenance and traceability
    AI roadmap for process development
10:30 AM
    Networking Break
    Networking Break
    Networking Break
    Networking Break
    Networking Break
    Networking Break
11:30 AM
    Data Lifecycle management
    Multimodal Biomarker Discovery: AI for Early Disease Detection and Patient Stratification
    Vendor Strategy
    Early Safety Prediction: Off-Target and Toxicity Modeling
    Scaling AI solutions in GMP environments while maintaining compliance and control
    Data Infrastructure for Scientific AI: Moving, Storing and Serving Data at Scale
12:30 PM
    Organoids, Virtual Cells and New Approach Methods: Promise, Pitfalls and Predictive Validity
    Supporting Multimodal R&D at Scale: Infrastructure for Imaging, Omics and Scientific Compute
    AI for Biologic and Large Molecule Engineering
    Post-Approval Reality | Keeping AI Compliant, Current and Inspection Ready
    Improving supply reliability and planning through better forecasting and process insight
    Privacy, consent and data control
1:00 PM
    Lunch
    Lunch
    Lunch
    Lunch
    Lunch
    Lunch
2:00 PM
    The ROI Question
    AI for Targeted Biologics: Structure, Epitope Mapping and Functional Modulation
    AI-Enabled Drug Repurposing and Indication Expansion
    Data standardization for reuse and collaboration
    Maximizing value of digital infrastructure to support process optimization at scale
    Scaling AI in Regulated Environments: Infrastructure, Governance and Deployment Realities
3:00 PM
    Human Accountability in an AI World
    Legacy systems and modern data management
    Process Development and Manufacturing: Where HPC and AI Can Deliver Real Operational Value
    Chemical Foundation Models and LLMs: From Molecular Generation to Reaction Intelligence
    Beyond the Hypothesis: How Systematic Data Exploration is Delivering Validated Oncology Targets
    Juding ROI from AI in manufacturing challenges
3:30 PM
    Networking Break
    Networking Break
    Networking Break
    Networking Break
    Networking Break
    Networking Break
3:45 PM
    Round tables
    Round tables
    Round tables
    Round tables
    Round tables
    Round tables