Coverage will likely include:
- AI-driven molecular modeling and virtual screening for drug design, reaction kinetics, and specificity
- AI and ML-enabled hit identification, drug candidate prioritization, and lead optimization
- Case studies highlighting the use of quantum chemistry and computational modeling
- Improving compound efficacy based on AI/ML predictions and data analytics
The deadline for priority consideration is September 15, 2023.
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 19th 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: