Presentation/Conference
Headshot of Purvesh Khatri, Ph.D.
September 10, 2021 12:00 p.m. - 1:00 p.m. ET

Purvesh Khatri, Ph.D.

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.

The words "Cancer Moonshot Progress" are illustrated against a navy-blue background.
September 09, 2021 12:00 p.m. - 1:00 p.m. ET

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.

The Exploration of Pan-Cancer Dysregulated Pathways and PolyTherapy AI | Seven Bridges CGC Webinar Series | Wednesday, August 25, 2 p.m. ET/11 a.m. PST/8p.m. GST
August 25, 2021 2:00 p.m. - 3:00 p.m. ET

Margaret Liñán, MPH MS

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.

The Seven Bridges Cancer Genomics Cloud Summer Syposium (August 18, 12:00 p.m. ET)
August 18, 2021 12:00 p.m. - 2:30 p.m. ET

Jeffrey Grovers, Ph.D., Soner Koc, M.S., Manisha Ray, Ph.D., Ana Stankovic, Dalibor Veljkovic, M.Sc., Nevena Vukojicic, M.Sc.

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.

Headshot of Arjun Krishnan Ph.D.
August 13, 2021 12:00 p.m. - 1:00 p.m. ET

Arjun Krishnan, Ph.D.

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.

Dark background with floating zeros and ones with a lock off to the right, depicting data security and privacy.
July 28, 2021 3:00 p.m. - 5:30 p.m. ET

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.

Utilizing the Seven Bridges Platform for Training of a New Generation of Health Data Scientists | Seven Bridges CGC Webinar Series| Wednesday, July 28, 2 p.m. ET/11 a.m. PST/8 p.m. GST
July 28, 2021 2:00 p.m. - 3:00 p.m. ET

Yuriy Gusev, Ph.D. and Krithika Bhuvaneshwar

This month, the NCI Cancer Research Data Commons Cancer Genomics Cloud (CGC) webinar welcomes two Georgetown University informatics faculty members who will share how they use the CGC to teach data science.

Depiction of ones and zeros floating around in cyberspace.
July 26, 2021 12:30 p.m. - 2:00 p.m. ET

This webinar will focus on finding solutions to streamline the use of NIH’s controlled-access mechanisms—both through implementation improvements and emerging technological advancements.

Numbers in blue are streaked across going from left to right and intersect in the middle of a black background with reddish orange numbers going top to bottom.
July 22, 2021 3:00 p.m. - 5:30 p.m. ET

This webinar will focus on making controlled-access data (stored in NIH operated and supported repositories) easier to find and access.

Headshot of Mark Musen
July 09, 2021 12:00 p.m. - 1:00 p.m. ET

Mark Musen, M.D., Ph.D.

In this monthly NIH Data Sharing and Reuse Seminar, Dr. Mark Musen will discuss his group’s latest work, which addresses the challenge of “scrubbing” legacy metadata to ensure adherence to FAIR data standards.