Cambridge Healthtech Institute’s Inaugural

AI-Powered Drug and Target Discovery

Turning AI, Data, and Biology into Faster Discovery Decisions

January 19-20, 2027

 

Early discovery is being reshaped by the convergence of biological data, computational reasoning, and experimentally grounded validation. CHI’s Inaugural AI-Powered Drug and Target Discovery conference will examine how AI/ ML are transforming biologic drug discovery, from disease target identification and prioritization, to validation and advancement into molecular designs and therapeutic programs.

 

The agenda will explore how machine learning, foundation models, reasoning systems, multi-model models, active learning, screening data, and target intelligence platforms are strengthening biological hypotheses, assessing tractability, guiding modality selection, and improving discovery decisions. Sessions will examine where frontier models add value, how AI is reshaping scientific and early discovery workflows, and how AI scientist platforms and agentic systems can support literature synthesis, hypothesis generation, experimental planning, data analysis, and protein design while clarifying what still requires human judgment.

 

Coverage will include, but is not limited to:

 

  • AI-Driven Target Discovery and Targeting
  • Addressing Challenging Targets
  • Foundation Models, Reasoning Models, and Target Intelligence
  • AI Scientists and Lab-in-the-Loop Discovery
  • Data Infrastructure and AI Ready Assays
  • Agentic Workflows for Discovery and Engineering Teams
  • Target Tractability, Modality Selection, and Candidate Prioritization
  • Active Learning and Closed Loop Discovery
  • Benchmarking AI for Drug Discovery Decisions

We are also seeking instructors and facilitators to lead the sessions below (in addition to the podium presentations):

  • Competitions and benchmarking
  • Interactive breakout discussions
  • Demonstrations
  • One day training seminars
  • Working groups

The deadline for priority consideration is July 3, 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:

Dan Barry

Senior Conference Director

Cambridge Healthtech Institute

Phone: +44 7837 651 303

Email: dbarry@healthtech.com

 

For sponsorship information, please contact:

 

Companies A-K

Jason Gerardi

Sr. Manager, Business Development

Cambridge Healthtech Institute

Phone: +1 781-972-5452

Email: jgerardi@healthtech.com

 

Companies L-Z

Ashley Parsons

Manager, Business Development

Cambridge Healthtech Institute

Phone: +1 781-972-1340

Email: ashleyparsons@healthtech.com


Submit a Speaker Proposal

JANUARY 19 - 20

JANUARY 20 - 21

Predicting Developability and Optimization Using AI