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