Cambridge Healthtech Institute’s 3rd Annual

Machine Learning Approaches for Protein Engineering: Part 2

Balancing Theory with Practice

7 November 2024


The use of generative AI, deep learning and machine learning tools are poised to make a tremendous impact on the biologics pipeline, but there need to be guidelines put in place to ensure that the results are measurably improved in terms of investment of time, money, and output. Part 2 of the Machine Learning track at PEGS Europe examines and measures the real impact of using these techniques by implementing benchmarks, experimental validation, standards, and controls to guide the process, and case studies comparing traditional approaches with newer, machine learning approaches will shed light on how to adapt and utilize them for biotherapeutic discovery, prediction, developability, simulation and optimization.  

Coverage will include, but is not limited to:

  • Implementing benchmarking, experimental validation, and controls
  • Applying ML to developability and optimisation
  • Reviewing new findings on protein language models
  • Using deep learning across the antibody and drug discovery pipeline
  • Learning from case studies in protein design
  • Measuring results from ML vs. traditional approaches
  • Using AI to derisk antibody development
  • Building the latest generative models for de novo design
  • Incorporating diffusion models

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:

Christina Lingham
Executive Director, Conferences and Fellow
Cambridge Healthtech Institute
Phone: (+1) 508-813-7570
Email: clingham@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