Artificial Intelligence for Early Drug Discovery Part 2 Icon

Cambridge Healthtech Institute’s 5th Annual

Artificial Intelligence for Early Drug Discovery - Part 2

Innovative Use of Computational Tools for Finding New Targets and Drugs

April 12-13, 2023

 

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 the opportunities and limitations of AI/ML-driven decision-making, using relevant case studies and research findings. The first part of the conference will focus on how AI/ML can help in drug design, hit identification, lead optimization, PK/PD predictions, and early safety assessments. The second part will focus on emerging computational tools and models to identify new drug targets, prioritize compounds for development and to help drive niche applications, such as predictions for targeted protein degradation.  

 

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
  • Case studies highlighting the value of AI/ML based predictions for decision-making

 

The deadline for priority consideration is September 23, 2022.

 

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.

 

We hope you can join us for the 5 concurrent day-and-a-half conferences during each half of our 18th Annual Drug Discovery Chemistry event. Registering for this conference lets you also move back and forth among parallel programs to create your own agenda.

 

Opportunities for Participation:

 

 

For more details on the conference, please contact:

Tanuja Koppal, PhD

Senior Conference Director

Cambridge Healthtech Institute

Email: tkoppal@healthtech.com

 

For sponsorship information, please contact:

Kristin Skahan

Senior Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-972-5431

Email: kskahan@healthtech.com