Medical economics

Machine learning model predicts physician turnover

Physician turnover is disruptive to patients and costly to health care facilities and physicians alike. In a new study, Yale researchers have used machine learning to reveal the factors—including the length of a physician's ...

Neuroscience

Neural prosthesis uses brain activity to decode speech

Researchers from HSE University and the Moscow State University of Medicine and Dentistry have developed a machine learning model that can predict the word about to be uttered by a subject, based on their neural activity ...

Cardiology

Developing a digital marker for coronary artery disease

Using machine learning and clinical data from electronic health records, researchers at the Icahn School of Medicine at Mount Sinai in New York constructed an in silico, or computer-derived, marker for coronary artery disease ...

Diseases, Conditions, Syndromes

Precision insights can be found in wastewater

Research from the lab of Fangqiong Ling at Washington University in St. Louis showed earlier this year that the amount of SARS-CoV-2 in a wastewater system was correlated with the burden of disease—COVID-19—in the region ...

Oncology & Cancer

Using machine learning to identify undiagnosable cancers

The first step in choosing the appropriate treatment for a cancer patient is to identify their specific type of cancer, including determining the primary site—the organ or part of the body where the cancer begins.

Neuroscience

Breaking stereotype: Brain models are not one-size-fits-all

Machine learning has helped scientists understand how the brain gives rise to complex human characteristics, uncovering patterns of brain activity that are related to behaviors like working memory, traits like impulsivity, ...

Diseases, Conditions, Syndromes

Ensuring the fairness of algorithms that predict patient disease risk

"To treat or not to treat?" is the question continually faced by clinicians. To help with their decision making, some turn to disease risk prediction models. These models forecast which patients are more or less likely to ...

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