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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
Global Careers in Chemical Information and Cheminformatics Oral
Contributed
This symposium explores the diverse career opportunities available to chemistry professionals in the... Read more
Machine Learning and AI for Organic Chemistry Oral
Contributed
This symposium will focus on the application of data science and machine learning techniques to the ... Read more
Molecular Data Representation for ML/AI Studies - (How to Retain Conformation and Stereochemistry Information) Oral
Contributed
One of the biggest challenges in developing machine learning models is the 3D molecular representati... Read more
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... Read more
Skolnik Award Symposium - Anthony 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... Read more
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... Read more
