Latest AI and machine learning research in hiv/aids for healthcare professionals.
Gene sets are collections of genes that share a common biological function, process, or component that can be used to get insight into the biological relevance of genomic data. Databases containing these gene sets aids in a wide array of analytical methods. The results of these methods, such as gene set analysis or phenotype-based gene prioritization, depend on the quality of the gene sets. Despit...
Antibodies are central to immune defense and therapeutic design, yet predicting which sequences confer functional activity remains challenging. Deep learning models trained on full variable regions often struggle due to sparse experimental data, signal dilution from conserved framework residues, and the extreme diversity of hypervariable loops. The heavy-chain complementarity-determining region 3 ...
Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influenza, is hindered by the ability of these pathogen...
While genomic language models are enabling the de novo design of entire genomes, they remain challenging to interpret, limiting their trustworthiness....
RNA plays vital roles in diverse biological processes, thus drawing much attention as potential therapeutic target. Notably, cryptic ligand binding si...
Epigenetic clocks estimate chronological and biological age from DNA methylation patterns, but conventional models typically train on hundreds of thou...
Cell segmentation and phenotyping in histopathology samples are essential techniques applied across diagnostic and research workflows. However, annota...
Melanoma outcomes have dramatically improved over the past decade, but some patients still experience disease recurrence, particularly those who prese...
Genomic language models (gLMs) have recently emerged as powerful numerical surrogates for DNA, but existing architectures are largely focused on human...
Zoonotic viruses capable of jumping from animal reservoirs into human populations represent a persistent and unpredictable menace to global health. To...
Over 100 genes have been implicated in congenital heart disease (CHD), yet the genetic basis for >50% of CHD remains unexplained. A key challenge is t...
Pneumonia, primarily caused by Streptococcus pneumoniae, and tuberculosis (TB), caused by Mycobacterium tuberculosis, continue to present significant ...
Several clinical prediction models have been developed using electronic health records data to help inform decisions about HIV pre-exposure prophylaxi...
Traditional diagnostic methods for Tuberculous pleural effusion (TPE) are often limited by their invasiveness, low sensitivity, and lack of accessibil...
Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical and subtropical regions into temperate zones, ...
Hypertension continues to be a major challenge in developing countries like South Africa, as it significantly contributes to the cardiovascular diseas...
Despite improvements in HIV prevention, treatment, and surveillance, vast disparities remain in access, uptake, and adherence of evidence-based interv...
Background and aims. The first direct-acting antivirals (DAAs) to treat the viral hepatitis C (HCV) became available in 2011. Despite numerous clinica...
South African young adults are at increased risk for HIV acquisition and other non-communicable diseases and face significant barriers to accessing he...
Failure to rapidly diagnose tuberculosis disease (TB) and initiate treatment is a driving factor of TB as a leading cause of death in children. Curren...