Machine Learning Approaches for Protein Engineering: Part 2 banner

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.

For more details on the conference, please contact:

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

For sponsorship information, please contact:

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

Companies L-Z
Ashley Parsons
Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-1340