Machine learning reveals unique COVID vaccine immune signatures in people living with HIV, with differences in antibodies, cytokines, and T cell responses.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Washington University in St. Louis researchers and clinicians have been incorporating data from Fitbit wristbands into machine-learning models that could predict surgical outcomes, pain after surgery ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common ...

Data scientists and epidemiologists are working together to develop a tool that will forecast the number of patients who will contract the novel coronavirus using big data, machine learning and other ...

Researchers are still trying to understand why some people develop Long COVID: lasting symptoms of the disease that can ...