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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH, and AIH

Annotation of liver biopsies, for disease staging is increasingly aided by digital pathology, howeve...

Artificial Intelligence-based Diagnosis of Kaposi Sarcoma using Photographs in Dark-skinned Patients

Advanced-stage disease at the time of diagnosis, with resultant high mortality, is among the most ur...

Predicting Bacterial Vaginosis Development using Artificial Neural Networks

Bacterial vaginosis (BV) is a dysbiosis of the vaginal microbiome, characterized by the depletion of...

Ranked placement of phage predation as a determinant of dehydration severity among cholera patients in Bangladesh

Phage predation is inversely associated with severe cholera yet its importance as a determinant of d...

Predicting clinical outcome of Escherichia coli O157:H7 infections using explainable Machine Learning

Shiga toxin-producing Escherichia coli (STEC) O157:H7 is a globally dispersed zoonotic pathogen capa...

Omics Integration Uncovers Mechanisms Associated with HIV Viral Load and Potential Therapeutic Insights

While antiretroviral therapy (ART) has significantly improved disease prognosis in people with HIV (...

Secure and Efficient Federated Learning for Predictive Modeling in Resource-Constrained Healthcare Systems

Predictive modeling in healthcare holds promise for improving clinical outcomes, but in many low-res...

Predicting Tuberculosis Incidence in Adult HIV Patients on ART in Debre Markos, Ethiopia: A Machine Learning Approach

Tuberculosis (TB) is the commonest comorbidity among individuals with HIV/AIDS, especially in low- a...

Association between zidovudine and adverse pregnancy outcomes/congenital malformations: A pharmacovigilance study using FAERS data

Zidovudine (AZT), a key antiretroviral drug used for HIV treatment and preventing mother-to-child tr...

Application of Extreme Gradient Boosting to predict NCD-HIV/AIDS comorbidity in young adults in Malawi

The fight to achieve Sustainable Development Goal 3.3 and 3.4 by 2030 requires data driven approache...

Candidate Correlates of Protection in the HVTN505 HIV-1 Vaccine Efficacy Trial Identified by Positive-Unlabeled Learning

With a goal of unveiling mechanisms by which vaccines can provide protection against HIV-1 acquisiti...

Harnessing Machine Learning for Antimicrobial Resistance Surveillance in Zimbabwe

Antimicrobial resistance (AMR) poses a significant public health challenge, particularly in resource...

ViraLite: An Ultracompact HIV Viral Load Self-Testing System with Internal Quality Control

The availability of effective antiretroviral therapy has made HIV manageable, provided patients have...

Foundation model embeddings enable cardiovascular screening for people living with HIV in Vietnam using wearable signals

Cardiovascular disease (CVD) screening faces significant challenges in resource-limited settings, wh...

Forecasting trends of HIV infection using deep learning models in East Gojjam zone, North West Ethiopia, 2025

The growing burden of HIV/AIDS, particularly in sub-Saharan Africa, presents a significant public he...

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