Doxy-PEP reshapes STI prevention, while congenital syphilis surges; experts urge scaling HIV and STI care infrastructure to ...
Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.
A study on almost four thousand people of African descent has identified a gene that acts as natural defense against HIV by limiting its replication in certain white blood cells. This research paves ...
Vaccine development remains central to reducing incident HIV globally, particularly where long-acting PrEP access is limited, with therapeutic and preventive approaches advancing in parallel.
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 ...
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 ...
“We searched for human genetic variation that associates with spontaneous control of HIV and identified a novel region in the genome that is only variable in populations of African ancestries,” says ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results