Cambridge Healthtech Institute’s

Predictive Protein Production

Disruptive Tools for Capturing Data More Efficiently and Applying Analytics More Effectively

January 13, 2025

The rapid advancement of technology has introduced disruptive tools that significantly enhance the efficiency of data capture and the effectiveness of analytics in protein sciences and beyond. Advances in screening and assay technologies are crucial for strengthening predictive protein production by enabling high-throughput, accurate, and comprehensive data collection, integral for building predictive models that optimize protein production processes. Cambridge Healthtech Institute’s Predictive Protein Production symposium aims to equip attendees with the recent breakthroughs and knowledge to harness the power of data analytics, driving efficiency, scalability, and innovation in protein production workflows shared by leading experts.

Coverage will include, but is not limited to:

Next-generation Protein Production Technologies

Gene-editing
Synthetic Biology
Cell-Free Expression

High-throughput Approaches for Protein Expression
Protein Production of Novel and Challenging Soluble Targets
Prosecution of Membrane Protein Targets
Accelerate Protein Production with AI techniques/AI-powered Algorithms
Data-Driven Approaches
Machine Learning

Proteomics
Predictive Modeling
Case Studies on How AI/ML Has Improved Outcome

Challenges in Screening and Assay Development
Data Integration and Management
Multi-Omics Data Integration
Protein Arrays
Lab-on-a-Chip

The deadline for priority consideration is June 28, 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: