Artificial Intelligence for Early Drug Discovery Icon

Cambridge Healthtech Institute’s 4th Annual

Artificial Intelligence for Early Drug Discovery

Improving Speed and Precision for Drug Design, Lead Optimization and ADMET Predictions

April 19-20, 2022

 

The Artificial Intelligence for Early Drug Discovery conference brings 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-driven decision-making using relevant case studies and research findings.

 

Coverage will likely include:

 

  • AI models for drug design, compound/target screening and prioritization
  • AI and ML-enabled drug candidate selection and lead optimization
  • AI-based predictions of drug-like properties, reaction kinetics and specificity
  • Improving accuracy of predictions on compound efficacy and drug-related adverse events
  • Leveraging AI for predicting drug-drug interactions (DDI) and drug-target interactions
  • Understanding limitations and caveats when using AI/ML predictions

 

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

 

The deadline for priority consideration is October 1, 2021.

 

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 4 concurrent day-and-a-half conferences during the first half of our 17th Annual Drug Discovery Chemistry event. Registering for this conference lets you also move back and forth among parallel programs to create your own agenda, whether you join in person or virtually.

 

For more details on the conference, please contact:

Tanuja Koppal, PhD

Senior Conference Director

Cambridge Healthtech Institute

Email: tkoppal@healthtech.com

 

For partnering and sponsorship information, please contact:

Aimee Croke
Business Development Manager
Cambridge Healthtech Institute
Phone: (+1) 781-972-5458
Email: acroke@cambridgeinnovationinstitute.com