In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.
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Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study
In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
An NIH-funded study unveils scSurvival, a machine learning tool that predicts cancer outcomes using single-cell data. It ...
Cancer survival can be analyzed by individual cells instead of whole tumors, revealing which cell populations drive patient ...
Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...
Two stories highlight how AI can empower rather than replace humans. In one, a software engineer used tools like ChatGPT and ...
Engineers interested in creating artificial cells to deliver drugs to unhealthy parts of the body face a key challenge: for a ...
A robust and quantitative map links chromatin modification and gene expression of cells during zebrafish embryogenesis.
A detailed analysis of T-cell redirecting therapies in oncology, comparing the mechanisms of bispecific antibodies and CAR T ...
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