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Eric Stahlberg, Frederick National Laboratory for Cancer ResearchNational Cancer Institute

Sean Hanlon, National Cancer Institute

Amanda J Minnich, Lawrence Livermore National Laboratory

Patricia Kovatch, Icahn School of Medicine at Mount Sinai

Naomi Ohashi. Frederick National Laboratory for Cancer ResearchNational Cancer Institute

TimeSunday, 17 November 2019, 9am - 5:30pm



9:00am - 9:01am
Fifth Computational Approaches for Cancer Workshop (CAFCW19)
Eric Stahlberg
Sean Hanlon
Amanda Minnich
Patricia Kovatch
9:01am - 9:10am
Welcome - Fifth Computational Approaches for Cancer
9:10am - 10:00am
Keynote: Fifth Computational Approaches for Cancer
Warren Kibbe
10:00am - 10:30am
CAFCW19 Morning Break
10:30am - 11:00am
Integrating High-Performance Simulations and Learning toward Improved Cancer Therapy
Austin Clyde
Dave Wright
11:00am - 11:15am
Machine Learning Algorithms in Histology and Radiology for Cancer Drug Discovery and Development
Partha Paul
11:15am - 11:30am
A Scalable, Validated Platform for Generative Lead Optimization of De Novo Molecules: Case Study in Discovery of Potent, Selective Aurora Kinase Inhibitors with Favorable Secondary Pharmacology
Andrew Weber
11:30am - 11:45am
Deep Learning Enabled Unsupervised State Identification in KRAS Dimers and Interacting Lipids
Adam T. Moody
Harsh Bhatia
Christopher A. Neale
Timothy S. Carpenter
Helgi I. Ingolfsson
Tomas Oppelstrup
Sam A. Jacobs
Brian C. Van Essen
James N. Glosli
Peer-Timo Bremer
Felice C. Lightstone
11:45am - 12:00pm
Fusion of Structure Based Deep Learning to Accelerate Molecular Docking Predictions
Derek Jones
12:00pm - 12:30pm
Panel: AI and Cancer Drug Discovery
Eric Stahlberg (Moderator)
Amy Gryshuk
Steve Litster
Bill Richards
Jeff Buchsbaum
12:30pm - 2:00pm
CAFCW19 Lunch Break
2:00pm - 2:01pm
CAFCW19: Afternoon Welcome
2:01pm - 2:30pm
Machine Learning Directed Multiscale Simulations To Explore RAS Biology
Peer-Timo Bremer
Harsh Bhatia
Fred Streitz
2:30pm - 2:45pm
Semi-Supervised Method for Countering Batch Effect
Stewart He
2:45pm - 3:00pm
Acceleration of Hyperparameter Optimization via Task Parallelism for Information Extraction from Cancer Pathology Reports
Hong-Jun Yoon
John Gounley
3:00pm - 3:30pm
CAFCW19 Afternoon Break
3:30pm - 3:45pm
Digital Twins for Predictive Cancer Care: an HPC-Enabled Community Initiative
Emily Greenspan
Carolyn Lauzon
Amy Gryshuk
Jonathan Ozik
Nicholson Collier
Tina Hernandez-Boussard
Paul Macklin
3:45pm - 4:15pm
Deep Kernel Learning for Information Extraction from Cancer Pathology Reports
Georgia Tourassi
Jacob Hinkle
4:15pm - 4:30pm
Massively Parallel Large-Scale Multi-Model Simulation of Tumor Development including Treatments
Marco Berghoff
Alexander Schug
4:30pm - 5:15pm
Panel Session: Collaborations, Community, and Computational Approaches for Cancer
Amanda Minnich (moderator)
Rick Stevens
Andrew Weber
Harsha Gurukar
Patricia Kovatch
5:15pm - 5:30pm
CAFCW19 Wrap-Up

SC Best Paper Award

“A Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer”, Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R. W. Scogland, Gautham Dharuman, Michael P. Surh, Yue Yang, Claudia Misale, Lars Schneidenbach, Carlos Costa, Changhoan Kim, Bruce D’Amora, Sandrasegaram Gnanakaran, Dwight V. Nissley, Fred Streitz, Felice C. Lightstone, Peer-Timo Bremer, James N. Glosli, Helgi I. Ingolfsson

Created by Petrina Hollingsworth Last Modified Wed August 12, 2020 1:33 pm by Petrina Hollingsworth