Session Chairs:
Eric Stahlberg, Frederick National Laboratory for Cancer Research, National 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 Research, National Cancer Institute
TimeSunday, 17 November 2019, 9am - 5:30pm
Presentations
| 9:00am - 9:01am |
Fifth Computational Approaches for Cancer Workshop (CAFCW19)
Organizers
Eric Stahlberg
Sean Hanlon
Amanda Minnich
Patricia Kovatch
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9:01am - 9:10am
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Welcome - Fifth Computational Approaches for Cancer
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9:10am - 10:00am
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Keynote: Fifth Computational Approaches for Cancer
Presenter
Warren Kibbe
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10:00am - 10:30am
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CAFCW19 Morning Break
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10:30am - 11:00am
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Integrating High-Performance Simulations and Learning toward Improved Cancer Therapy
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11:00am - 11:15am
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Machine Learning Algorithms in Histology and Radiology for Cancer Drug Discovery and Development
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11:15am - 11:30am
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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
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11:30am - 11:45am
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Deep Learning Enabled Unsupervised State Identification in KRAS Dimers and Interacting Lipids
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11:45am - 12:00pm
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Fusion of Structure Based Deep Learning to Accelerate Molecular Docking Predictions
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12:00pm - 12:30pm
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Panel: AI and Cancer Drug Discovery
Eric Stahlberg (Moderator)
Amy Gryshuk
Steve Litster
Bill Richards
Jeff Buchsbaum
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12:30pm - 2:00pm
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CAFCW19 Lunch Break
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2:00pm - 2:01pm
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CAFCW19: Afternoon Welcome
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2:01pm - 2:30pm
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Machine Learning Directed Multiscale Simulations To Explore RAS Biology
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2:30pm - 2:45pm
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Semi-Supervised Method for Countering Batch Effect
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2:45pm - 3:00pm
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Acceleration of Hyperparameter Optimization via Task Parallelism for Information Extraction from Cancer Pathology Reports
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3:00pm - 3:30pm
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CAFCW19 Afternoon Break
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3:30pm - 3:45pm
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Digital Twins for Predictive Cancer Care: an HPC-Enabled Community Initiative
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3:45pm - 4:15pm
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Deep Kernel Learning for Information Extraction from Cancer Pathology Reports
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4:15pm - 4:30pm
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Massively Parallel Large-Scale Multi-Model Simulation of Tumor Development including Treatments
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4:30pm - 5:15pm
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Panel Session: Collaborations, Community, and Computational Approaches for Cancer
Amanda Minnich (moderator)
Rick Stevens
Andrew Weber
Harsha Gurukar
Patricia Kovatch
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5:15pm - 5:30pm
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CAFCW19 Wrap-Up
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