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Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook
A Padhi, A Agarwal, SK Saxena, CDS Katoch - VirusDisease, 2023 - Springer
In the rapidly evolving field of clinical virology, technological advancements have always
played a pivotal role in driving transformative changes. This comprehensive review delves …
played a pivotal role in driving transformative changes. This comprehensive review delves …
Social and behavioral impacts of COVID-19 on people living with HIV: review of the first year of research
SC Kalichman, R El-Krab - Current HIV/AIDS Reports, 2022 - Springer
Abstract Purpose of the Review The SARS-CoV-2 (COVID-19) pandemic brought
unprecedented social change with the most severe impacts on the most vulnerable …
unprecedented social change with the most severe impacts on the most vulnerable …
Progress of the gulf cooperation council (gcc) countries towards achieving the 95-95-95 UNAIDS targets: a review
Abstract Background In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS)
and partners launched the 90-90-90 targets. These were further updated to correspond to 95 …
and partners launched the 90-90-90 targets. These were further updated to correspond to 95 …
Application of artificial intelligence and machine learning for HIV prevention interventions
In 2019, the US Government announced its goal to end the HIV epidemic within 10 years,
mirroring the initiatives set forth by UNAIDS. Public health prevention interventions are a …
mirroring the initiatives set forth by UNAIDS. Public health prevention interventions are a …
Early stage HIV diagnosis using optimized ensemble learning technique
Human immunodeficiency Virus most commonly known as HIV, is a retrovirus that attacks
and weakens the immune system, leaving the body vulnerable to opportunistic infections …
and weakens the immune system, leaving the body vulnerable to opportunistic infections …
“There hasn't been a push to identify patients in the emergency department”—Staff perspectives on automated identification of candidates for pre-exposure …
Automated algorithms for identifying potential pre-exposure prophylaxis (PrEP) candidates
are effective among men, yet often fail to detect cisgender women (hereafter referred to as …
are effective among men, yet often fail to detect cisgender women (hereafter referred to as …
[HTML][HTML] Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes
Undiagnosed and untreated human immunodeficiency virus (HIV) infection increases
morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing …
morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing …
Pediatric provider utilization of a clinical decision support alert and association with HIV pre-exposure prophylaxis prescription rates
CT Chan, M Vo, J Carlson, T Lee… - Applied Clinical …, 2022 - thieme-connect.com
Objectives An electronic clinical decision support (CDS) alert can provide real-time provider
support to offer pre-exposure prophylaxis (PrEP) to youth at risk for human …
support to offer pre-exposure prophylaxis (PrEP) to youth at risk for human …
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy
Low-density lipoprotein cholesterol (LDL-C) is an important factor in the development of
cardiovascular disease, making its management a key aspect of cardiovascular health …
cardiovascular disease, making its management a key aspect of cardiovascular health …
Multicenter development and validation of a model for predicting retention in care among people with HIV
Predictive analytics can be used to identify people with HIV currently retained in care who
are at risk for future disengagement from care, allowing for prioritization of retention …
are at risk for future disengagement from care, allowing for prioritization of retention …