Researchers develop method to identify dormant cells that carry HIV
Mount Sinai researchers have developed a method to uncover the hidden immune cells that harbor the human immunodeficiency ...
Machine learning could help predict adherence to HIV treatment in adolescents
Nearly 85% of the 1.7 million adolescents with HIV live in sub-Saharan Africa, along with half of the nearly 40 million ...
Technology Networks9d
New Method Identifies Hidden Immune Cells That Harbor HIV
Mount Sinai researchers have developed a method to uncover the hidden immune cells that harbor the human immunodeficiency ...
Armed robbery in Revesby8d
New Method Identifies Dormant HIV-Carrying Cells
The team created a novel cell lineage-tracing model to reveal where the virus hides, and developed genetic profiles of T ...
Armed robbery in Revesby9d
Mount Sinai Unveils Method to Spot Dormant HIV Cells
The team created a novel cell lineage-tracing model to reveal where the virus hides, and developed genetic profiles of T ...
eLife12d
Parallel HIV-1 fitness landscapes shape viral dynamics in humans and macaques that develop broadly neutralizing antibodies
An effective HIV-1 vaccine must therefore elicit antibodies that can neutralize many variants of the virus. While broadly neutralizing antibodies (bnAbs) have been isolated from HIV-1 infected ...
allAfrica.com on MSN9d
How much does our HIV response depend on US funding?
In the wake of US funding cuts for global aid, numerous donor-funded health facilities in South Africa have shut down and ...
News Medical6d
Predicting HIV treatment nonadherence in adolescents with machine learning
To train the model, Najjuuko used data from a six-year cluster-randomized controlled trial from 39 clinics in southern Uganda, a region most heavily impacted by HIV. The Suubi+Adherence dataset ...