Cambridge Healthtech Institute’s 3rd Annual

Machine Learning Approaches for Protein Engineering: Part 1

Strategies and Best Practices for Training Data, out-of-Set Predictions and R&D Workflows

6 November 2024


Part 1 of the PEGS Europe machine learning program delves into essential strategies and best practices small and large research groups need to employ as they strive to use machine learning tools to accelerate and optimise biologics drug discovery and development. We will explore the pros and cons of different approaches for developing and accessing high-quality training data and then consider ways of using methods for “out-of-set” predictions that present new opportunities for ML-based studies arising out of known antigens, structures, and successful campaigns. And, to empower smaller companies working to compete with the substantial resources of major research organisations, a session will showcase the workflows, capabilities, and successes of a set of emerging biopharma companies structured around the use of ML/AI tools as a primary R&D paradigm.  

Coverage will include, but is not limited to:

Data Strategies

  • Assay/experimental design
  • Consortia (PDB, Pistoria Alliance, Open Targets, SBGrid)
  • Data augmentation and active learning
  • Data standards and interoperability
  • Federated data
  • Managing bias
  • Partnerships
  • Training data generation

Out-of-Set Predictions

  • Distribution shift detection
  • Inverse protein design
  • Protein chunk assembly
  • Transfer learning
  • Uncertainty quantification

Project Case Studies from AI-Centric Biopharmas  

  • Approaches to training data generation
  • Business model
  • Case studies of R&D for late preclinical-/clinical-stage programs
  • Challenges
  • Structure, staffing, external collaborations
  • Technical capabilities and limitations

The deadline for priority consideration is 29 March 2024.

All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge Healthtech Institute’s policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.

Opportunities for Participation:

For more details on the conference, please contact:

Kent Simmons
Senior Conference Director
Cambridge Healthtech Institute
Phone: (+1) 207-329-2964
Email: ksimmons@healthtech.com

For sponsorship information, please contact:

Companies A-K
Jason Gerardi
Sr. Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-5452
Email: jgerardi@healthtech.com

Companies L-Z
Ashley Parsons
Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-1340
Email: ashleyparsons@healthtech.com