Cambridge Healthtech Institute’s Inaugural

Analytical Intelligence

Exploring the Evolution of the Analytical Function in an Era of Big Data, Modeling, and AI

August 11-12, 2026

 

CHI's new Analytical Intelligence track offers a comprehensive view of how data-driven approaches are influencing modern analytical strategies. Sessions will cover the collection, management, and interpretation of complex datasets across instruments, modalities, and development stages, including the use of active learning for training data generation. The track will examine the impacts of predictive modeling on formulation design, stability assessment, and analytical target profile development, as well as its role in supporting process development, PAT systems, and CMC decision-making. Challenges and solutions related to digitization, integration of partnered assets, regulatory filings, and adaptation of experimentalists to new digital paradigms will be discussed, alongside tools for automated data integrity review and advanced visualization.

 

Coverage will include, but is not limited to:

 

  • Expanding Data Capture and Access
    • Instrument-level and cross-instrument data capture and curation
    • The benefits and challenges of historical data
    • Training data collection and generation; active learning in analytical development
  • Pipeline Impacts and Interrelationships
    • Analytical support of process development, CQAs, PAT/process control systems
    • Benefits, challenges, and workflow impact of enterprise-wide data initiatives
    • Impacts of discovery data from developability models and screening studies
  • Predictive Modeling in Analytical Development
    • Early prediction of formulation conditions
    • Impacts of FDA New Approach Methodologies (NAMS) program
    • Modeling to support Analytical Target Profile (ATP) development for new modalities
    • Models for accelerated stability, developability, manufacturability, and CQAs
  • Problems and Solutions
    • Digitization impacts on CMC timelines
    • Digitization impacts on small and virtual companies
    • Integrating partnered assets
    • Strategies for adapting experimentalists to digital tools and new R&D paradigms
    • Support for preparation of regulatory filings and tracking/response for RTQs
  • Tools for Analysis and Interpretation of Complex Results
    • Automating Data Integrity Reviews
    • Pattern recognition across methods, modalities, stages, and time
    • Software tools to support analysis and visualization of orthogonal datasets

 

The deadline for priority consideration is January 23, 2026.

 

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:

Kent Simmons

Senior Conference Director

Cambridge Healthtech Institute

Phone: (+1) 207-329-2964

Email: ksimmons@healthtech.com

 

For sponsorship information, please contact:

 

Companies A-K

Phillip Zakim-Yacouby

Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-247-1815

Email: philzy@cambridgeinnovationinstitute.com

 

Companies L-Z

Aimee Croke

Senior Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-292-0777

Email: acroke@cambridgeinnovationinstitute.com