In some cases, scientists use brain images and behavioral data to train machine learning models to predict an individual ... generalize across settings and populations. In a new study, Yale ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior—and perhaps open new opportunities for personalized ...

Researchers from Johns Hopkins Medicine and Yale University have collaborated on the development and application of a ...

Researchers from both Johns Hopkins Medicine and Yale University collaborated on the development and application of a diagnostic model to detect acute interstitial nephritis (AIN) in patients, which c ...

A new study from Yale New Haven Health System — YNHHS — reveals significant ... The results showed that eCART, a machine learning-based tool, outperformed other systems in accurately identifying ...

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These grants, awarded to exceptionally creative scientists, allow researchers to pursue innovative projects that challenge existing paradigms in health and medicine.

said Steven Reilly, PhD, assistant professor of genetics at Yale and one of the senior ... And so, we tried to build machine learning methods that could learn a more complex code than we could ...

RESEARCH involving 34,070 heart failure (HF) patients, has shown that deep learning machine learning models can accurately ..