On September 2022, the CGC Webinar Series featured a talk by Dr. Dennis A. Dean III from Seven Bridges.
Dr. Dean is a Principal Investigator at Seven Bridges, leading several national-scale genomic analysis projects. Dr. Dean leads the Translational Computation and Analytics Team and will present their progress in making machine learning models developed as part of the National Cancer Institute’s Predictive Oncology Model and Data Clearinghouse (MoDaC) program available for use on the Cancer Genomics Cloud. The NCI-sponsored MoDaC program aims to add sophisticated machine learning and drug discovery tool sets to the challenge of identifying novel treatments for Cancer Patients. The MoDaC model repository includes models from three programs: Accelerating Therapeutics for Opportunities in Medicine (ATOM), Advance Computing Solutions for Cancer, and ongoing NCI-DOE collaborations.
In this presentation, he demonstrated that translating the MoDaC tools into cloud-native resources on the CGC supports interactive and GUI-driven analysis. Consequently, allowing access to a broader user base than those who traditionally have the technical expertise required to work with machine learning models. He presented ML tools developed as part of the Predictive modeling for Pre-Clinical Screening and the Accelerating Therapeutics for opportunities in Cancer programs. And presented details on porting the AMPL1 (A Data-Driven Modeling Pipeline for Drug Discovery) tools as a focal point for discussing standards that might promote portability and ensure equity as pertaining to use and access.