Poster Presentations: Session 1

Poster Presentations: Session 1

Poster #9
Deep Dive into the JUMP-CP Dataset: Leveraging the Power of a Cloud-Based Analytical Platform with an AI Search Engine for Rapidly Unlocking Novel Biological Insights
David Egan, Ph.D., Core Life Analytics BV

Poster #17
Automated Detection of Cytopathic Effects Using Deep Learning in Microscopic Imaging
Miyabi Hishinuma, Asahi KASEI

Poster #11
Foreground-Aware Virtual Staining for Accurate Representation of 3D Nuclear Morphology
Paula Llanos, The Broad Institute

Poster #15
Application of Deep Learning Imputation to Peptide Bioactivity and Property Prediction
Tamsin Mansley, Ph.D., M.R.SC., C.Chem., C.Sci., Optibrium Inc.

Poster #3
An Automated and Scalable Pipeline for Deep Learning Analysis in Nextflow to Enable Morphological Profiling of Cells
Vasant Marur, Merck

Poster #7
Combining HCA Imaging with Binary AI to Identify Modulators of Neurite Outgrowth
Claudia McCown, Ph.D., The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology

Poster #5
Automated Analysis and Reporting Pipeline for Flow Cytometry Data with Project-Specific Customization Support
Mohamed Moustafa, M.Sc., AstraZeneca

Poster #13
A Random Forest Classifier Model for Predicting Crystallization Conditions of Small Molecules
Jake Newman, M.S., Amgen

Poster #19
Comparative Analysis of Prominent AI Models for Enhanced Diabetes Diagnosis & Prediction
Rudy Pathak, William P. Clements High School

Poster #1
A Generalizable AI-Based Segmentation for Morphological Single Cell- and Sub-Cellular Profiling
Daniel Siegismund, Genedata AG

Poster #21
Evaluation of the Performance of Various Cell Dyes for the Cell Painting Assay
Suganya Sivagurunathan, The Broad Institute of MIT and Harvard