News From the Field
Machine learning lets scientists reverse-engineer cellular control networks
March 22, 2017
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.
Researchers at Tufts University and the University of Maryland, Baltimore County, used machine learning on the Stampede supercomputer to model the cellular control network that determines how tadpoles develop. Using that model, they reverse-engineered a drug intervention that created tadpoles with a form of mixed pigmentation never before seen in nature. They plan to use the method for cancer therapies and regenerative medicine.Full StorySource
University of Texas at Austin, Texas Advanced Computing Center
The U.S. National Science Foundation propels the nation forward by advancing fundamental research in all fields of science and engineering. NSF supports research and people by providing facilities, instruments and funding to support their ingenuity and sustain the U.S. as a global leader in research and innovation. With a fiscal year 2023 budget of $9.5 billion, NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and institutions. Each year, NSF receives more than 40,000 competitive proposals and makes about 11,000 new awards. Those awards include support for cooperative research with industry, Arctic and Antarctic research and operations, and U.S. participation in international scientific efforts.
Connect with us online
NSF website: nsf.gov
NSF News: nsf.gov/news
For News Media: nsf.gov/news/newsroom
Statistics: nsf.gov/statistics/
Awards database: nsf.gov/awardsearch/
Follow us on social
Twitter: twitter.com/NSF
Facebook: facebook.com/US.NSF
Instagram: instagram.com/nsfgov