During the 2021 Observational Health Data Sciences and Informatics Symposium, NIH Data Scholar Jay Ronquillo will share his research on the current state of using NIH and NCI resources to drive precision medicine for cancer patients.

Attend this webinar to learn more about foundational goals, vision, and current progress within two of the Childhood Cancer Data Initiative’s (CCDI’s) programs. CCDI is building a community centered around childhood cancer care and research data.

Bioinformaticians, computational biologists, and data scientists will join forces with university/college students, faculty, and researchers to gain insights into the barriers toward equitable access to cloud resources.

During the latest Containers and Workflow Interest Group (CWIG) webinar, Jujun Zhang, a bioinformatics manager at the Ontario Institute for Cancer Research will introduce WorkFlow Package Manager (WFPM) – an open-source command line interface (CLI) tool that provides reusable code and best practices assistance throughout the development lifecycle.

In the September NIH Data Sharing and Reuse Seminar, Dr. Purvesh Khatri will discuss how heterogeneity (i.e., variability) in public data can help identify disease signatures and be used to make translational medicine better, including for cancer.

NCI Director Dr. Ned Sharpless, NCI Deputy Director Dr. Dinah Singer, and co-chairs/members of the Blue Ribbon Panel (BRP) will reflect on the BRP’s recommendations, share progress, and discuss future directions and potential for Cancer Moonshot℠ Initiatives.

This month, the NCI Cancer Research Data Commons Cancer Genomics Cloud (CGC) webinar will showcase a pan-cancer case study leveraging the cloud’s open access data, PolyTherapy AI, to develop an AI platform for multi-omics combination drug treatment.

During the first annual Cancer Genomics Cloud (CGC) Summer Symposium, Seven Bridges experts will focus on how epigenomics, image processing using machine learning, and single-cell analysis can be enhanced through the NCI Cloud Resource CGC platform.

In the August NIH Data Sharing and Reuse Seminar, Dr. Arjun Krishnan will present recent work from his group on developing machine learning approaches to address fundamental challenges in using omics and biomedical data to effectively drive research. He will also discuss the need for improving advanced research training in biological data analysis by formalizing concepts in statistical procedures, study design, data/code management, critically consuming data-driven findings, and reproducible research.

This webinar will focus on assessing the extent to which increased interoperability of NIH controlled-access repositories may lead inadvertently to gaps in oversight and control, including explicit consideration of re-identification risk escalation.