Cambridge Healthtech Institute’s 11th Annual

Accelerating Analytical Development

Applying New Technologies to Optimize the Speed and Efficiency of Biotherapeutic Development

August 19-20, 2024


Industry analytical groups are facing increased pressure to deliver key studies faster than ever before—and at lower costs. Cambridge Healthtech Institute’s 11th Annual Accelerating Analytical Development conference offers a best practices forum in which industry scientists and managers can exchange ideas on strategies, new technologies, and the integration of analytical methods in support of these goals. For 2024, the meeting will include increased content on the current and future applications of AI and big-data powered applications in this space, and the role of these tools in enabling better predictive analyses, streamlining workflows, and offering new insights into attributes needed for successful biotherapeutics.


Coverage will include, but is not limited to:



Automation and Miniaturization

  • Automated/computational image analysis
  • Best practices for translating traditional manual methods to automated/robotic systems
  • Challenges in automating sample preparation and handling (solution prep, automating freezer storage, software development, eliminating human steps)
  • Qualification and validation of miniaturized assays in comparison with traditional approaches

Current Applications of AI in Bioprocess Analytics

  • Automation of technical report generation and writing
  • Hypothesis generation (cell behavior, quality attributes, suggested experiments, modifications)
  • In silico CQA assessment
  • Using controlled interfaces to generate data about a potential target or pathway

Current and Future Prospects for Predictive Modeling

  • Challenges in developing, implementing, and maintaining predictive models
  • Current use cases for predictive models: what are we learning?
  • Development considerations: justification, metadata/training data, robustness, regulatory/validation issues
  • Future applications: drug design, developability properties, process development, PAT

Data Challenges

  • Capture and analysis of historical analytical and process data
  • Compliance issues in the capture, sharing, and use of cross-company data
  • Facilitating searchability of large datasets/data lakes
  • Powering training datasets: amounts of data needed, balancing good/bad data, impacts of underpowered models

Near-Term Applications and Challenges for AI in Bioprocessing

  • Migration of legacy methods, systems, procedures to AI
  • Role of experimental validation as AI improves
  • Unstructured query/modeling of long-term (development through clinical), cross-organization (discovery/development/clinical), and cross-program data
  • Using clinical data to rapidly identify new CQAs

Platforms and Workflows

  • Adapting internal workflows to accommodate accelerated development timelines
  • Considerations in aligning platform methods across companies
  • Overcoming the barriers to further adoption of MAM
  • Phase-appropriate approaches to platforms and workflows


The deadline for priority consideration is February 2, 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:



For more details on the conference, please contact:

Kent Simmons

Senior Conference Director

Cambridge Healthtech Institute

Phone: (+1) 207-329-2964



For sponsorship information, please contact:

Companies A-K

Phillip Zakim-Yacouby

Senior Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-247-1815



Companies L-Z

Aimee Croke

Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-292-0777