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.
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
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Four-part small-molecule cocktail can prevent cellular stress
Researchers at the National Institutes of Health (NIH) have devised a four-part small-molecule cocktail that can protect stem cells called induced pluripotent stem cells (iPSCs) from stress and maintain normal stem cell structure and function.
The researchers suggest that the cocktail could enhance the potential therapeutic uses of stem cells, ranging from treating diseases and conditions such as diabetes, Parkinson s disease and spinal cord injury to genome editing.
Human pluripotent stem cells are cells that, in theory, can grow forever and serve as an inexhaustible source for specialized cells, such as brain, kidney and heart cells. But stem cells are sensitive, and their potential uses in medicine are hampered by the stress of growing in a cell culture dish, which can damage their DNA and lead to cell death.