Latest AI and machine learning research in universal precautions for healthcare professionals.
Diabetes mellitus (DM) is a major risk factor for acquiring infections. Metformin, the first-line tr...
Urinary tract infections (UTIs) are among the most common bacterial infections worldwide, typically ...
Achieving high retention of people living with HIV (PLHIV) in care remains a challenge in Uganda, de...
Rapid diagnostic tests (RDTs) support affordable disease diagnosis. Machine learning (ML) can improv...
Leishmaniasis and toxoplasmosis are major neglected zoonotic diseases affecting billions globally, w...
Lower respiratory tract infection (LRTI) is a leading cause of morbidity and mortality among childre...
Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a...
Superspreading driven by individual variation in transmissibility shapes novel pathogen emergence an...
Ongoing education in HIV care is limited for many healthcare providers working in rural and non-acad...
The emergence of generative AI and controllable diffusion has made image-to-image synthesis increa...
The human MHC transplantation loci (HLA-A, -B, -C, -DPB1, -DQB1, -DRB1) are the most polymorphic i...
We propose Foreground-Covering Prototype Generation and Matching to resolve Few-Shot Segmentation ...
MOTIVATION: The emergence of multidrug class resistance (MDR) in Human Immunodeficiency Virus (HIV) ...
COVID-19 has not only changed the way people live but has also altered the way all organizations ope...
INTRODUCTION: Tuberculous meningitis (TBM) leads to high mortality, especially amongst individuals w...
One of the main challenges in food microbiology is to prevent the risk of outbreaks by avoiding the ...
Despite unprecedented achievements, the domain-specific application of artificial intelligence (AI) ...
Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infecti...
Infectious diseases remain a critical global health challenge, and the integration of standardized...
The primary challenge of cross-domain few-shot segmentation (CD-FSS) is the domain disparity betwe...
Off-policy policy evaluation (OPE) estimates the outcome of a new policy using historical data col...