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February 23, 2024
The NCATS Translator is giving researchers ideas for new disease therapies
July 21, 2023
Gene therapy advocates say the treatments can cure rare diseases more quickly if government helps.
March 1, 2023
Featuring Francis Collins, M.D., Ph.D., Senior Advisor to President Biden and Former Director of the National Institutes of Health, and Joni Rutter, Ph.D., NCATS Director, Plus a Panel...
January 18, 2023
Speakers From AbbVie, National Institutes of Health, National Organization for Rare Disorders, NYU Grossman School of Medicine and Verily Share Insights on How Medical Innovation Is...
August 14, 2022
Accurate data is critical for public health, and the US doesnโt have it.
May 25, 2022
Heres your daily update with everything you need to know on the coronavirus situation in B.C. and around the world.
May 18, 2022
Clinical scientists used machine learning (ML) models to explore de-identified electronic health record (EHR) data in the National COVID Cohort Collaborative (N3C), a National Institutes of Health-funded national clinical database, to help discern characteristics of people with long-COVID and factors that may help identify such patients using data from medical records.
May 18, 2022
A study shows how the National COVID Cohort Collaborative used XGBoost machine learning models to better define long COVID and identify potential long-COVID patients with a high degree of accuracy
October 28, 2021
More than 30 million people battle rare diseases in the U.S., according to estimates by the FDA.
October 28, 2021
Collaboration is key to faster breakthroughs. The NIH, FDA, and 15 private organizations have announced they are joining forces for the sake of the 30 million Americans suffering from a rare disease.