Poster Presentations: Session 2

Poster Presentations: Session 2

Poster #16
Merging AI with Experimentation for Modern Discovery Molecular Generative Neural Networks: Navigating Latent Vector Space to Create New Tools for Analysis and Prediction
Kelly Bachovchin, Collaborative Drug Discovery

Poster #12
Harnessing the Power of Machine Learning to Rapidly Transform LC-MS Spectra into the Identity and Absolute Concentration of Detected Metabolites
Mimoun Cadosch Delmar Akerman, Matterworks

Poster #6
Rapid AI generation of Optimised Compound Designs Guided by User Interactions
Tamsin Mansley, Ph.D., M.R.SC., C.Chem., C.Sci. (Optibrium Inc.)

Poster #4
ML Algorithm for Detecting Activated T Cells: An Automated Multi-Cycle Tracking Workflow
David Nizovsky, 100XBIO

Poster #14
Learning Microbial Growth Dynamics
Vasu Rao, University of Michigan

Poster #10
AI Driven Automation of Model Selection and Data Quality Control in SPR Production Screens
Daniel Siegismund, Genedata AG

Poster #2
Generative AI Automation and Enhanced Untargeted Drug Metabolite Analysis Using High-Resolution Mass Spectrometry (HRMS): A Case Study in Lipid Identification
Lalin Theverapperuma, Ph.D., Expert Intelligence

Poster #8
Representation Learning of Cell Painting Images in Combination with Biological Knowledge Graph
Zhiyong Xie, Xellar Biosystems