Workshop: Fifth Computational Approaches for Cancer Workshop (CAFCW19)
Event TypeWorkshop
Registration Categories
W
Tags
Bioinformatics
Cancer
Computational Biology
Programming Systems
TimeSunday, 17 November 20199am - 5:30pm
Location712
DescriptionNew computational opportunities and challenges have emerged within the cancer research and clinical application areas as the size, number, variety, and complexity of cancer datasets have grown in recent years. Simultaneously, advances in computational capabilities, with exceptional growth in deep learning, are expected to continue to reach unprecedented scales. Such opportunities to impact cancer computationally are underscored in the 2016 US Twenty-first Century Cures Act and international efforts such as the ITCC-P4 focusing on development treatments for pediatric cancer. The workshop focuses on bringing together interested individuals ranging from clinicians, mathematicians, data scientists, computational scientists, engineers, developers, leaders and others with an interest in advancing the use of computation at all levels to better understand, diagnose, treat and prevent cancer. As an interdisciplinary workshop, the cross-disciplinary sharing of insight and challenges fosters collaborations and future innovations to accelerate the progress in computationally and data driven cancer research and clinical applications. A special emphasis for the 2019 workshop is the role of computing in drug discovery for cancer, with a special emphasis on the role of AI, machine learning, and deep learning approaches applied to drug discovery and precision medicine.

https://ncihub.org/groups/cafcw19
Presentations
9:00am - 9:01amFifth Computational Approaches for Cancer Workshop (CAFCW19)
9:01am - 9:10amWelcome - Fifth Computational Approaches for Cancer
9:10am - 10:00amKeynote: Fifth Computational Approaches for Cancer
Presenter
10:00am - 10:30amCAFCW19 Morning Break
10:30am - 11:00amIntegrating High-Performance Simulations and Learning toward Improved Cancer Therapy
AI
Bioinformatics
Cancer
11:00am - 11:15amMachine Learning Algorithms in Histology and Radiology for Cancer Drug Discovery and Development
AI
Bioinformatics
Cancer
11:15am - 11:30amA 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
Author/Presenter
AI
Bioinformatics
Cancer
11:30am - 11:45amDeep Learning Enabled Unsupervised State Identification in KRAS Dimers and Interacting Lipids
AI
Bioinformatics
Cancer
11:45am - 12:00pmFusion of Structure Based Deep Learning to Accelerate Molecular Docking Predictions
Author/Presenter
AI
Bioinformatics
Cancer
12:00pm - 12:30pmPanel: AI and Cancer Drug Discovery
12:30pm - 2:00pmCAFCW19 Lunch Break
2:00pm - 2:01pmCAFCW19: Afternoon Welcome
2:01pm - 2:30pmMachine Learning Directed Multiscale Simulations To Explore RAS Biology
AI
Bioinformatics
Cancer
2:30pm - 2:45pmSemi-Supervised Method for Countering Batch Effect
Author/Presenter
AI
Bioinformatics
Cancer
2:45pm - 3:00pmAcceleration of Hyperparameter Optimization via Task Parallelism for Information Extraction from Cancer Pathology Reports
Author/Presenters
3:00pm - 3:30pmCAFCW19 Afternoon Break
3:30pm - 3:45pmDigital Twins for Predictive Cancer Care: an HPC-Enabled Community Initiative
Cancer
Computational Biology
3:45pm - 4:15pmDeep Kernel Learning for Information Extraction from Cancer Pathology Reports
AI
Bioinformatics
Cancer
4:15pm - 4:30pmMassively Parallel Large-Scale Multi-Model Simulation of Tumor Development including Treatments
Cancer
Computational Biology
4:30pm - 5:15pmPanel Session: Collaborations, Community, and Computational Approaches for Cancer
5:15pm - 5:30pmCAFCW19 Wrap-Up
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