AIMC Topic: HIV Infections

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Treating drug-resistant tuberculosis in an era of shorter regimens: Insights from rural South Africa.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde Nov 6, 2023
BACKGROUND: Progressive interventions have recently improved programmatic outcomes in drug-resistant tuberculosis (DR-TB) care in South Africa (SA). Amidst these, a shorter regimen was introduced in 2017 with weak evidence, and has shown mixed result...
Antitubercular Agents HIV Infections South Africa Treatment Outcome Viremia Tuberculosis, Multidrug-Resistant Humans Coinfection Retrospective Studies
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An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study.

Journal of medical Internet research Sep 15, 2023
BACKGROUND: Literature reviews (LRs) identify, evaluate, and synthesize relevant papers to a particular research question to advance understanding and support decision-making. However, LRs, especially traditional systematic reviews, are slow, resourc...
Humans Machine Learning Cluster Analysis Natural Language Processing Review Literature as Topic Databases, Factual HIV Infections
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Using Machine Learning to Identify Predictors of Sexually Transmitted Infections Over Time Among Young People Living With or at Risk for HIV Who Participated in ATN Protocols 147, 148, and 149.

Sexually transmitted diseases Aug 16, 2023
BACKGROUND: Sexually transmitted infections (STIs) among youth aged 12 to 24 years have doubled in the last 13 years, accounting for 50% of STIs nationally. We need to identify predictors of STI among youth in urban HIV epicenters.
Humans Los Angeles Sexual and Gender Minorities Sexual Behavior Male Risk Factors Machine Learning Adolescent Child HIV Infections Young Adult Female Sexually Transmitted Diseases
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Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV.

Pharmacoepidemiology and drug safety Jun 8, 2023
PURPOSE: Hepatic steatosis (fatty liver disease) affects 25% of the world's population, particularly people with HIV (PWH). Pharmacoepidemiologic studies to identify medications associated with steatosis have not been conducted because methods to eva...
Humans Retrospective Studies Tomography, X-Ray Computed HIV Infections Fatty Liver Cross-Sectional Studies Deep Learning
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A deep learning approach to real-time HIV outbreak detection using genetic data.

PLoS computational biology Oct 14, 2022
Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A main interest is to identify and assess the potential of infectious disease outbreaks. While popular methods to analyze sequence data often involve phylo...
Europe HIV-1 Humans Disease Outbreaks Deep Learning HIV Infections Phylogeny
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Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP).

AIDS and behavior Aug 2, 2022
Pre-Exposure Prophylaxis (PrEP) interventions are increasingly prevalent on social media. These data can be mined for insights about PrEP that may not be as apparent in surveys including personal musings about PrEP and barriers/facilitators to PrEP u...
Humans HIV Infections Communication Pre-Exposure Prophylaxis Deep Learning Surveys and Questionnaires
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Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.

Topics in magnetic resonance imaging : TMRI Jun 28, 2022
OBJECTIVES: Automated whole brain segmentation from magnetic resonance images is of great interest for the development of clinically relevant volumetric markers for various neurological diseases. Although deep learning methods have demonstrated remar...
Image Processing, Computer-Assisted Brain Neoplasms Logistic Models Magnetic Resonance Imaging Humans Deep Learning Brain HIV Infections
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A three-methylation-driven gene-based deep learning model for tuberculosis diagnosis in patients with and without human immunodeficiency virus co-infection.

Microbiology and immunology May 27, 2022
Improved diagnostic tests for tuberculosis (TB) among people with human immunodeficiency virus (HIV) are urgently required. We hypothesized that methylation-driven genes (MDGs) of host blood could be used to diagnose patients co-infected with HIV/TB....
HIV Infections Coinfection HIV Methylation Tuberculosis Humans Deep Learning
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Switching to a NRTI-free 2 drug regimen (2DR) -a sub-analysis of the 48 weeks DUALIS study on metabolic and renal changes.

HIV research & clinical practice Mar 2, 2022
Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse transcriptase inhibitors [NRTIs]) to a two-drug regimen (2DR: bDRV and dolutegravir [DTG]) demonstrated non-inferiority with regard to viral suppression in...
Anti-HIV Agents HIV-1 Darunavir Humans HIV Infections Ritonavir
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Different features identified by machine learning associated with the HIV compartmentalization in semen.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jan 23, 2022
Genetic compartmentalization in semen has been observed in previous studies. However, genetic signatures associated with compartmentalization in semen are only beginning to be explored. A total of 2071 partial HIV env sequences for paired blood and s...
Semen HIV-1 Machine Learning Humans HIV Infections Viral Load
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