Opportunities for Podium, Poster, and Sponsor Presentations at

Cambridge Healthtech Institute’s Inaugural

Machine Learning Approaches for Protein Engineering  

Balancing Theory with Practice

May 5-6, 2022

 

Machine learning and AI are changing the way drugs will get discovered, designed and optimized in the future, but these tools are still in their early development and much needs to be learned about how to adapt them for use in antibody and vaccine discovery, modeling, prediction, developability, simulation and optimization.

 

Coverage will include, but is not limited to:

 

  • Adapting machine learning for antibody discovery
  • Developing rules for developability
  • Creating benchmarks
  • Training datasets to make predictions
  • Deep learning in drug discovery
  • Case studies in protein design

 

The deadline for priority consideration is October 22, 2021.

 

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: 781-972-5464

Email: clingham@healthtech.com

 

For sponsorship information, please contact:

Companies A-K

Jason Gerardi

Senior Manager, Business Development

Cambridge Healthtech Institute

Phone: 781-972-5452

Email: jgerardi@healthtech.com

 

Companies L-Z

Ashley Parsons

Manager, Business Development

Cambridge Healthtech Institute

Phone: 781-972-1340

Email: ashleyparsons@healthtech.com