Poster Presentations: Session 1

Poster Presentations: Session 1

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

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

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

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

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

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

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

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

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

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

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