Events

At the AWS Summit, NCI CBIIT’s Dr. Keyvan Farahani will take part in a panel discussion, titled “Elevating a Patient’s Radiology Journey with ML and the Cloud.” The panel will examine how medical imaging techniques, including radiology and pathology, are being blended with machine learning and cloud technologies to improve patient care.

During this session of the Big Data Training for Cancer Research Special Lecture Series, Duke University’s Dr. Warren Kibbe will present on the NCI CCDI. Learn about the initiative’s current state, future direction, and how to get involved.

Dr. Peng Jiang of NCI’s Center for Cancer Research will discuss CytoSig, a software-based platform that provides both a database of target genes modulated by cytokines and a predictive model of cytokine signaling cascades from transcriptomic profiles. NCI is seeking parties interested in licensing and/or co-developing the platform.

During a session at the two-day CCR-DCEG Health Disparity Workshop, CBIIT’s Dr. Jill Barnholtz-Sloan will be presenting, “Data resources for data science to advance cancer health disparity research” with moderation by Sheila Rajagopal.

Johns Hopkins University’s Dr. Ji will present, “Identifying and Preventing Artifacts in High Dimensional Data: Computational Science in Immuno-Oncology.” This is the third of nine seminars in the SITC-NCI Computational Immuno-Oncology Webinar Series, a series designed for data scientists interested in the latest data science technologies and immunotherapy research.

At the June NCI Imaging and Informatics Community Webinar, Stanford University’s Dr. Mirabela Rusu will discuss the improvement of prostate MRI interpretation by developing deep learning models that automatically localize indolent and aggressive prostate cancers on MRI scans.

Dr. Obi L. Griffith will discuss CIViC, an open access, open source, community-driven web resource for clinical interpretation of variants in cancer. The goal of this resource is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.