A University at Buffalo researcher who studies adolescent HIV prevention in African and diaspora communities was invited to contribute a commentary in the April issue of The Lancet Child & Adolescent ...

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

Machine learning models, particularly LightGBM, effectively predict hyperlipidemia in PLWH on HAART for six months, with high accuracy and area under curve values. The study's limitations include ...

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1. A group of five machine learning algorithms identified whether a patient was a suitable candidate for corneal refractive surgery with 93.4 percent accuracy, a level equal to that of expert ...

Separate machine learning models were able to effectively predict both the length of hospital stay and the risk of prolonged hospitalization in people living with HIV. The length of stay in a hospital ...

Low-dose hydrocortisone improved verbal learning, memory and attention among virally suppressed women with HIV, who often ...

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