|
Title
|
Type
|
Submission Type |
Organizer |
Cosponsor |
Description |
| AI and Research Data Management: Opportunities and Benefits |
Oral |
Contributed |
|
|
|
| Analyzing and Dealing with Diverse Data and Linked DataSets in New and Different Ways for ML Model Development |
Oral |
Contributed |
|
|
|
| Chemical Data Computational Workflows for DMTA and Electronic Notebooks for Data Storage and Sharing |
Oral |
Contributed |
|
|
DMTA workflows and electronic capture of various diverse forms of data are strategic for compound pr...
|
| CINF at 150 - 150th Anniversary Symposium |
Oral |
Contributed |
|
|
|
| Deep Learning Models for Co-folding Versus the Physics of Protein-ligand Interactions (i.e. Boltz-2 vs. FEP) (Invited) |
Oral |
Invited |
|
|
Protein Co-folding predictive models have now become popular. How good are they at actually predict...
|
| Ethics in Publishing |
Oral |
Contributed |
|
|
|
| Extrapolative and Experimentally Validated AI Models in Drug Discovery |
Oral |
Contributed |
|
|
The primary challenge in AI-driven drug discovery is to devise and successfully test data modeling a...
|
| Fresh Takes and the Super Genius: Sharing News From the Field, and Envisioning the Future of Chemical Information |
Oral |
Contributed |
|
|
In this symposium, we will learn from chemical information specialists who will share their latest r...
|
| From Insight to Impact: Frameworks for Reliability and Reproducibility for Agentic AI in the Life Sciences |
Oral |
Contributed |
|
|
Using Agentic AI to drive chemical and biological discovery needs AI systems that seamlessly integra...
|
| Global Careers in Chemical Information and Cheminformatics |
Oral |
Contributed |
|
|
This symposium explores the diverse career opportunities available to chemistry professionals in the...
|
| Machine Learning and AI for Organic Chemistry |
Oral |
Contributed |
|
- ORGN: Division of Organic Chemistry
- MEDI: Division of Medicinal Chemistry
- COMP: Division of Computers in Chemistry
|
This symposium will focus on the application of data science and machine learning techniques to the ...
|
| Molecular Data Representation for ML/AI Studies - (How to Retain Conformation and Stereochemistry Information) |
Oral |
Contributed |
|
- MEDI: Division of Medicinal Chemistry
|
One of the biggest challenges in developing machine learning models is the 3D molecular representati...
|
| Progress with Standards in Chemistry: From Analog to Digital |
Oral |
Contributed |
|
|
This symposium will focus on the evolution of chemistry standards and the impact on communicating ch...
|
| Skolnik Award Symposium - Antony Williams (Invited) |
Oral |
Invited |
|
|
|
| Extrapolative and Experimentally Validated AI Models in Drug Discovery |
Poster |
Contributed |
|
|
The primary challenge in AI-driven drug discovery is to devise and successfully test data modeling a...
|
| Agentic Generative AI for Chemistry R&D: From Multimodal Data to System-Level Models and Simulations |
Oral |
Contributed |
|
|
Generative AI is moving beyond text-only assistance toward agentic workflows that can plan tasks, ca...
|
| Chemical Information Across the Chemistry Enterprise |
Poster |
Contributed |
|
|
Every year, an increasing number of fascinating, ground-breaking, and exciting advances are made in ...
|
