Cancer Data Science Pulse

Information Technology
Spyglass hovers over a stream of circles containing illustrated headshots; signifies the idea of matching people to specific cancer treatments.

Building Infrastructure that Works—Lessons Learned from Project MATCH

NCI’s Project MATCH initiative helped pioneer the concept that people in clinical trials could be matched (based on their genetic makeup) to medications specifically tailored to their needs and situations. Here, the CBIIT team shares the lessons they learned in modernizing and automating the platform for tracking and managing these patients, along with their samples, and other research data.

Brightly colored cloud is surrounded by question marks. Depicts the idea, "Is the Cloud for me?"

Using the Cloud for Cancer Research—Overcoming Common Barriers

Are you interested in using the cloud for your cancer research but worried about barriers like costs, security, and efficiency? Dr. Zhaoyi Chen gives some tips for overcoming these obstacles, along with an example of how you can make the cloud work for you.

Artists conception of federated learning. Shows four separate buildings linked together to form a center "brain." The idea is to show how people can be in different places and still contribute equally to research.

Federated Learning—A Solution for Democratizing Data for Cancer Research?

Federated learning (FL) might well be the next paradigm shift in democratizing vast amounts of data from many data sources for use in cancer research. FL offers a decentralized, but collective, approach to using data to better understand cancer.

Headshot of Jennifer Kwok

Spotlight on CBIIT Staff: Jennifer Kwok

Our newest “Spotlight” features Jennifer Kwok, program manager in CBIIT’s Infrastructure and Information Technology Operations Branch. Much of her work centers on developing IT solutions for NCI staff and organizations to streamline and optimize their business functions and processes.

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