Artificial Intelligence for Early Drug Discovery

Cambridge Healthtech Institute’s 3rd Annual

Artificial Intelligence for Early Drug Discovery

Increasing Speed and Precision in Drug Design, Lead Optimization and ADMET Predictions

May 19-20, 2021


The Artificial Intelligence for Early Drug Discovery conference will bring together a diverse group of experts from chemistry, target discovery, pharmacology and bioinformatics to talk about the increasing use of computational tools, artificial intelligence (AI) models, machine learning (ML) algorithms and data mining in preclinical drug development. The talks will highlight how AI/ML can help in drug design, target identification, lead optimization, PK/PD predictions, and early safety assessments. There will be discussions on the caveats and limitations of AI/ML-based decision-making using relevant case studies and research findings. Although taking place virtually, the conference will offer opportunities to network, and to discuss ideas and best practices.


Coverage will likely include:


  • AI Models for Drug Design, Compound Screening and Prioritization
  • AI and ML to Help Drug Candidate Selection and Lead Optimization
  • AI-Based Predictions of Drug-like Properties, Chemical Reactions, Kinetics and Specificity
  • AI for Improving Accuracy of Predictions on Compound Efficacy and Safety
  • Leveraging AI for Predicting Drug-Drug Interactions (DDI) and Drug-Target Interactions
  • Developing Algorithms to Find Better Drug Combinations for Therapy
  • Understanding Limitations and Caveats When Using AI/Machine Learning Predictions
  • Anticipating the Challenges Associated with Integrating AI Strategies     


If you would like to submit a proposal to give a presentation at this meeting, please click here.


The deadline for priority consideration is December 18, 2020.


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 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.


We hope you can join us for this and the three concurrent day-and-a-half conferences during the second half of our 16th Annual Drug Discovery Chemistry event. Joining this virtual community in real-time allows you to ask questions of the speakers and engage with colleagues. Plus, you can return later to view the concurrent presentations and Q&A panels that you missed, via On-Demand access. 


For more details on the conference, please contact:

Tanuja Koppal, PhD

Senior Conference Director

Cambridge Healthtech Institute



For partnering and sponsorship information, please contact:

Rod Eymael

Manager, Business Development

Cambridge Healthtech Institute

Phone: (+1) 781-247-628