MD Anderson, Syntropy enter into a system technology agreement

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print

MD Anderson Cancer Center, Syntropy and the Foundry Platform have entered into a technology collaboration to grow data science capabilities. 

Building upon MD Anderson’s institution’s digital infrastructure, the Foundry platform adds to MD Anderson’s growing ability to contextually integrate and draw clinically meaningful insights from vast quantities of data, including clinical, biospecimen, imaging, and other sources, while assuring appropriate use and data protections through state-of-the-art provenance and access controls. 

By assembling and harmonizing the diverse data types and making them “similar” enough to analyze while highlighting their unique differences, MD Anderson researchers are able to more effectively find data and collaborate on research. 

Hundreds of collaborators across diverse disciplines at MD Anderson already have conducted more than 50 projects in Foundry, with an initial focus on COVID-19 and its impact on cancer patients. Recognizing an urgent need to rapidly address research questions at the start of the pandemic, MD Anderson enabled its researchers to leverage the Foundry platform to generate insights from a common, curated, readily available source of aggregated COVID-19 data for cancer patients. 

Research from this work will be presented at the 2021 American Society of Clinical Oncology annual meeting in June.

Through ongoing education and implementation efforts, MD Anderson will be conducting a strategic and systematic rollout to additional researchers on the platform and expanding access throughout the institution. 

Additional opportunities exist to explore secure data collaborations with other academic and industry partners. MD Anderson also has submitted grant proposals using Foundry as an enabling platform for collaboration.

Table of Contents

YOU MAY BE INTERESTED IN

When our hematological malignancy testing pilot project began in Eldoret, Kenya, there seemed to be a mismatch in relation to progress in healthcare. The region, like much of sub-Saharan Africa, had been focusing on combatting infectious diseases such as HIV and malaria—which was much-needed—yet cancer care was under-resourced. 
Artificial intelligence is rapidly transforming biomedical research and healthcare. Large language models, foundation models, and AI agents are increasingly being deployed to assist with data interpretation, literature review, clinical decision support, and translational research. 
In modern oncology, important insights from clinical trials often emerge years after initial publication. As new therapies extend survival and transition more patients into long-term remissions, clinicians and researchers are increasingly looking beyond initial response rates to understand durability, long-term safety, and even the possibility of a cure. 

Never miss an issue!

Get alerts for our award-winning coverage in your inbox.

Login