Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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A variational deep-learning approach to modeling memory T cell dynamics.

Mechanistic models of dynamic, interacting cell populations have yielded many insights into the grow...

Leveraging Multi-Level Biomarkers Using Machine Learning: Identifying Physiological and Skin Microbial Dynamics in Bd-Resistant Amphibians.

Amphibians worldwide are declining due to various anthropogenic and environmental stressors. One of ...

Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach.

Acute myocardial infarction (AMI) is a serious heart disease with high fatality rates. The progress ...

Plasma proteomics for biomarker discovery in childhood tuberculosis.

Failure to rapidly diagnose tuberculosis disease (TB) and initiate treatment is a driving factor of ...

Statistical toolkit for analysis of radiotherapy DICOM data.

Radiotherapy (RT) has become increasingly sophisticated, necessitating advanced tools for analyzing ...

A novel stochastic approach for reliable design of advanced frugal products.

Climate change and other crises are putting strict limits on our consumption of energy and resources...

Artificial intelligence (AI) in New Psychoactive Substances (NPS) analysis: state-of-art and future perspectives.

Analytical toxicology is a discipline of forensic toxicology which applies analytical techniques for...

A Device for Computer Vision Analysis of Fungal Features Outperforms Quantitative Manual Microscopy by Experts in Discerning a Host Resistance Locus.

Accurate, quantitative phenotyping aids in the discovery of quantitative trait loci, particularly th...

Machine learning to forecast rituximab responses for paediatric immune thrombocytopenia: Forging a path towards personalized medical care.

Primary immune thrombocytopenia (ITP) is an autoimmune disorder characterized by decreased platelet ...

Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study.

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic...

Foundation models: the next level of AI in ART.

Artificial intelligence (AI) in ART has traditionally employed narrow, task-specific models for proc...

Additive Manufacturing of Neuromorphic Systems.

Neuromorphic engineering aims to create brain-inspired computing systems based on synaptic electroni...

Transformative potential of artificial intelligence in US CDC HIV interventions: balancing innovation with health privacy.

Artificial intelligence (AI) holds significant potential to transform HIV prevention and treatment t...

Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025.

BACKGROUND: Adherence with Anti-Retroviral Therapy (ART) reduces viral load, as well as HIV-related ...

Machine Learning Algorithms Enhance the Accuracy of Radiographic Diagnosis of Dental Caries: A Comparative Study.

OBJECTIVES: This study evaluated the influence of cognitive aids, including machine learning (ML) al...

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding.

Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talke...

Progress in the application research of cervical cancer screening developed by artificial intelligence in large populations.

Cervical cancer stands out among various cancers due to its potential for prevention and eradication...

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...

Machine Learning Identifies Sexual Behavior Subgroups Among Men Who Have Sex with Men in Switzerland.

Sexual behavior is heterogeneous and dynamic. Characterization of such complexity constitutes eviden...

Assessing psychological resilience and its influencing factors in the MSM population by machine learning.

This study assesses the influence of social support, self-esteem, depression, and education on psych...

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