AIMC Topic: HIV Infections
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Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes.
Computers in biology and medicine
Jul 10, 2024
Undiagnosed and untreated human immunodeficiency virus (HIV) infection increases morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing missed opportunities for HIV diagnosis when a patient visits a healthcare fa...
Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation.
South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde
Jun 24, 2024
HIV/AIDS remains one of the world's most significant public health and economic challenges, with approximately 36 million people currently living with the disease. Considerable progress has been made to reduce the impact of HIV/AIDS in the past years...
RAIN: machine learning-based identification for HIV-1 bNAbs.
Nature communications
Jun 24, 2024
Broadly neutralizing antibodies (bNAbs) are promising candidates for the treatment and prevention of HIV-1 infections. Despite their critical importance, automatic detection of HIV-1 bNAbs from immune repertoires is still lacking. Here, we develop a ...
Identification of hepatic steatosis among persons with and without HIV using natural language processing.
Hepatology communications
Jun 19, 2024
BACKGROUND: Steatotic liver disease (SLD) is a growing phenomenon, and our understanding of its determinants has been limited by our ability to identify it clinically. Natural language processing (NLP) can potentially identify hepatic steatosis syste...
Use of machine learning approaches to predict transition of retention in care among people living with HIV in South Carolina: a real-world data study.
AIDS care
Jun 4, 2024
Maintaining retention in care (RIC) for people living with HIV (PLWH) helps achieve viral suppression and reduce onward transmission. This study aims to identify the best machine learning model that predicts the RIC transition over time. Extracting f...
Improving HIV preexposure prophylaxis uptake with artificial intelligence and automation: a systematic review.
AIDS (London, England)
May 23, 2024
OBJECTIVES: To identify studies promoting the use of artificial intelligence (AI) or automation with HIV preexposure prophylaxis (PrEP) care and explore ways for AI to be used in PrEP interventions.
Machine learning for predicting cognitive deficits using auditory and demographic factors.
PloS one
May 14, 2024
IMPORTANCE: Predicting neurocognitive deficits using complex auditory assessments could change how cognitive dysfunction is identified, and monitored over time. Detecting cognitive impairment in people living with HIV (PLWH) is important for early in...
Predicting humoral responses to primary and booster SARS-CoV-2 mRNA vaccination in people living with HIV: a machine learning approach.
Journal of translational medicine
May 7, 2024
BACKGROUND: SARS-CoV-2 mRNA vaccines are highly immunogenic in people living with HIV (PLWH) on effective antiretroviral therapy (ART). However, whether viro-immunologic parameters or other factors affect immune responses to vaccination is debated. T...
The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis.
BMC infectious diseases
May 6, 2024
BACKGROUND: Early prediction of mortality in individuals with HIV (PWH) has perpetually posed a formidable challenge. With the widespread integration of machine learning into clinical practice, some researchers endeavor to formulate models predicting...
DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy.
NPJ systems biology and applications
May 6, 2024
Drug-drug interaction (DDI) may result in clinical toxicity or treatment failure of antiretroviral therapy (ARV) or comedications. Despite the high number of possible drug combinations, only a limited number of clinical DDI studies are conducted. Com...
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