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Symposium Day 1: Applications
7:00 AM PDT / 5:00 PM EEST
Welcome to CytoData 2020
Berton Earnshaw, Imran Haque
7:05 AM PDT / 5:05 PM EEST
CytoData Society and recent advances in image-based profiling
Lassi Paavolainen
Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki
Session 1: COVID-19
7:30 AM PDT / 5:30 PM EEST
Deep-learning-enabled phenomics applied to COVID-19 drug discovery
Ben Fogelson
8:00 AM PDT / 6:00 PM EEST
A multi-phenotype system to discover therapies for age-related dysregulation of the immune response to SARS-CoV-2
Brandon White
Spring Discovery
Session 2: Machine learning for drug discovery
9:00 AM PDT / 7:00 PM EEST
Fully unsupervised deep mode of action learning for phenotyping high-content cellular images
Eric Durand
Novartis Institutes for BioMedical Research
9:30 AM PDT / 7:30 PM EEST
Cell morphology-guided de novo hit design by conditioning generative adversarial networks on phenotypic image features
Paula A. Marin Zapata
Bayer AG
10:00 AM PDT / 8:00 PM EEST
Fortune-telling with Images: Cell Painting for discovering drugs
Shantanu Singh, Juan Caicedo, Gregory Way
The Broad Institute of MIT and Harvard
Lightning Talks
11:00 AM PDT / 9:00 PM EEST
Immunofluorescence stained segmentation of Cancer Epithelial using Nuclei Morphology
Osheen Sharma
Science for Life Laboratory, Stockholm-Sweden
11:10 AM PDT / 9:10 PM EEST
An end-to-end pipeline to normalize and maximize the phenotypic information from high-content data for drug screening applications
Jeremy Grignard
Institut de Recherches Servier
11:20 AM PDT / 9:20 PM EEST
Understanding Chemical-Genetic Interactions: Morphological screens of pairwise perturbations
Loan Vulliard
Max Perutz Labs Vienna
11:30 AM PDT / 9:30 PM EEST
Patient-by-patient deep transfer learning for 3D-image-based drug response profiles in pediatric tumor cells
Yannick Berker
German Cancer Research Center (DKFZ)
11:40 AM PDT / 9:40 PM EEST
Image Analysis for Phenotyping Vascular Networks
Heba Sailem
University of Oxford
11:50 AM PDT / 9:50 PM EEST
Deep learning for the detection of potential anti-inflammatory drug leads
Tannia Lau
UC Santa Cruz
Social groups
CytoData breakouts

OCT. 22

Symposium Day 2: Methods
7:00 AM PDT / 5:00 PM EEST
Berton Earnshaw, Imran Haque
Session 3: Advances in machine learning methods
7:10 AM PDT / 5:10 PM EEST
nucleAIzer: nucleus segmentation with deep learning and image style transfer
Réka Hollandi
Biological Research Centre (BRC), Szeged, Hungary
7:40 AM PDT / 5:40 PM EEST
Towards generalizable image analysis for systematic cell biology
Alan Moses
University of Toronto
Lightning Talks
8:10 AM PDT / 6:10 PM EEST
Interpretable deep learning of label-free live cell images uncovers hallmark states of highly-metastatic melanoma
Assaf Zaritsky
Ben-Gurion University of the Negev
8:20 AM PDT / 6:20 PM EEST
Quantifying the dynamics of long-range cell-cell mechanical communication
Assaf Nahum
Ben-Gurion University of the Negev
8:30 AM PDT / 6:30 PM EEST
KCML: a machine-learning framework for inference of multi-scale gene functions from image-based genetic screens
Heba Sailem
University of Oxford
8:40 AM PDT / 6:40 PM EEST
Modular deep learning enables automated identification of monoclonal cell lines
Brodie Fischbacher
The New York Stem Cell Foundation
8:50 AM PDT / 6:50 PM EEST
Biologically Accurate 3D Cell and Nuclear Segmentation at Scale via Combining Training Assay and Iterative Deep Learning Approaches
Jianxu Chen
Allen Institute for Cell Science
9:00 AM PDT / 7:00 PM EEST
Super-human cell death detection with biomarker-optimized neural networks
Jeremy Linsley
Gladstone Institutes
Session 4: Data sets, pipelines and platforms
9:30 AM PDT / 7:30 PM EEST
Generating public images for profiling: the JUMP-Cell Painting Consortium
Anne Carpenter
The Broad Institute of MIT and Harvard
9:45 AM PDT / 7:45 PM EEST
James Taylor, Katie-Rose Skelley, Katie Heiser
Recursion, Known Medicine
10:00 AM PDT / 8:00 PM EEST
Drug Repurposing for COVID-19 through the NCATS OpenData Portal
Kyle Brimacombe
National Institutes of Health
10:15 AM PDT / 8:15 PM EEST
Elements of Scalable and Reusable Data Pipelines for AI/ML and Beyond
Petr Votava
10:30 AM PDT / 8:30 PM EEST
Phenomic data at scale
Travis Martin, Teresa Anderson-Meyers, Peter McLean
Lightning Talks
10:50 AM PDT / 8:50 PM EEST
Cytominer: a computational ecosystem supporting reproducible and version-controlled processing of image-based profiling experiments
Gregory Way
The Broad Institute of MIT and Harvard
11:00 AM PDT / 9:00 PM EEST
CLARITY: A Python-based Image Analysis Pipeline for Subcellular Colocalization Analysis
Therese Pacio
Center for Global Infectious Disease Research, Seattle Children’s Research Institute
11:10 AM PDT / 9:10 PM EEST
Building Computational Transfer Functions on 3D Light Microscopy Images: From a General Deep Learning Toolkit to Biology-driven Validation
Jianxu Chen
Allen Institute for Cell Science
11:20 AM PDT / 9:20 PM EEST
Molecular Target Identification using Pharmaconomics
Lee Leavitt
University of Utah
Social groups
CytoData breakouts

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