Latest AI and machine learning research in hiv/aids for healthcare professionals.
Sepsis is characterized by potentially fatal organ failure resulting from the host's abnormal response to infection. Due to the complex and rapid progression of sepsis, timely diagnosis and intervention are required to improve patient prognosis. Copper-dependent cell death, known as "cuproptosis," is a newly discovered mode of cell death that relies on copper. Senescence refers to a state of irrev...
BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving prediction, monitoring, and treatment optimization across clinical domains, including HIV care. However, translating AI outputs derived from electronic health records into clinically meaningful, trustworthy, and actionable decision support remains challenging, underscoring the need for more human-center...
The aim of the present study is to obtain the numerical solutions of the fractional double-strain HIV co-infection model with intercellular delays and...
AIM: To estimate the effect of surgery on parent-reported gait outcomes as measured using the Gait Outcomes Assessment List (GOAL) questionnaire in a ...
Spatial information is of crucial importance to understanding terrorist attacks and for security applications. Conventional risk assessments of terror...
PURPOSE: This study empirically evaluated the impact of deep neural network (DNN)-based noise reduction in hearing aids on the categorical perception ...
Effective antiretroviral therapy has transformed HIV into a manageable chronic condition, provided viral suppression is maintained through routine vir...
Modern viral vaccines are designed to elicit an immune response against viral proteins that mediate infection, making those proteins important targets...
The quantification of genomic conservation has progressed from foundational statistical modeling of evolutionary rates to state-of-the-art deep learni...
BACKGROUND: Integrase Strand Transfer Inhibitors (INSTI) are recommended as first-line antiretroviral therapy (ART) for HIV infection, yet are frequen...
AI is a massively important tool for advancing the health of persons impacted by HIV. JAIDS is prioritizing rapid publication of research in this aren...
BACKGROUND: The genesis of Parkinson's disease (PD), a common central neurodegenerative disorder, involves dysregulation of protein posttranslational ...
OBJECTIVES: Our objective was to develop and test prompts designed to generate balanced, evidence-based information from artificial intelligence (AI) ...
The proposed work aims to develop a compact, low-cost, and commercially viable microwave sensor for early monitoring of high protein content in blood,...
INTRODUCTION: The existing predictive models for talaromycosis in people living with HIV without skin lesions are limited by established risk factors ...
Accurate sound localization is critical to navigation and foraging in echolocating animals. During both passive listening and active echolocation, bat...
BACKGROUND: Multiple programmed cell death (PCD) modalities, including apoptosis, autophagy, and ferroptosis, are closely implicated in spontaneous pr...
BACKGROUND: As life expectancy rises for people with HIV, atherosclerotic cardiovascular disease (ASCVD) has become a major contributor to morbidity. ...
INTRODUCTION: Pathological complete response (pCR) is a key prognostic indicator in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NA...
Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality...