HIV/AIDS

CD27 Neutralization Attenuates Rheumatoid Arthritis by Suppressing.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and destruction. Identifying novel therapeutic targets is crucial for improving RA treatment. This study aimed to identify immune-related biomarkers in RA and investigate the potential of CD27 as a therapeutic target. We employed bioinformatics analysis of gene expression data from RA patients and healthy...

Machine Learning-Based Magnetocardiography Model Aids in Diagnosing Non-ST-Segment Elevation Acute Coronary Syndrome in Acute Chest Pain.

BACKGROUND: Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is a leading cause of acute chest pain in clinical practice. Magnetocardiography (MCG) is a non-invasive and rapid functional imaging technique with high sensitivity to early, subtle electrophysiological changes associated with myocardial ischemia. AIMS: To develop and validate a machine learning (ML)-based diagnostic model fo...

Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach.

Predicting cervical cancer among women living with HIV/AIDS at public health facilities in a resource-limited setting in Ethiopia using machine learning analysis.

Association of epigenetic trajectory with development of clinical rheumatoid arthritis in anti-citrullinated protein antibody positive individuals: Targeting Immune Responses for Prevention of Rheumatoid Arthritis (TIP-RA).

OBJECTIVE: The presence of anti-citrullinated protein antibodies (ACPAs) in the absence of clinical inflammatory arthritis (IA) identifies individuals...

Whole genome sequencing precision medicine strategy to shorten treatment for rifampicin-resistant tuberculosis (SMARTT): a pragmatic, randomised, single-blind phase 4 trial.

BACKGROUND: All patients with rifampicin-resistant tuberculosis should receive a short course of effective treatment. We aimed to evaluate the effecti...

Mortality Prediction Among People Living With HIV on Antiretroviral Therapy in Public Health Facilities in Gondar City Administration, Northwest Ethiopia: Machine Learning-Based Study.

BACKGROUND: Predicting mortality among people living with HIV enables clinicians to implement timely, targeted, and preventive interventions at the st...

AI at the bedside: Randomised controlled trial of ChatGPT's impact on student performance in real-patient clinical exams.

BACKGROUND: Generative artificial intelligence (AI) tools are entering clinical training faster than curricula and assessments can adapt. It is curren...

The use of artificial intelligence in headache medical and patient education: Generation of visual aids.

Harnessing machine learning models to repurpose drugs targeting HIV-1 integrase, protease, and reverse transcriptase.

The human immunodeficiency virus type 1 (HIV-1) is a type of retrovirus responsible for immunodeficiency syndrome, a sickness that significantly compr...

Spatial proteomics of tertiary lymphoid structures reveals correlation with immunotherapy response in Merkel cell carcinoma.

BACKGROUND: Tertiary lymphoid structures (TLS) are ectopic lymphoid formations within or around tumours. They are emerging as important predictors of ...

Evaluation of AI-Generated Surgical Decision Aids for Pelvic Floor Disorders.

IMPORTANCE: Decision aid tools are well-utilized resources in shared decision making for the treatment of pelvic floor disorders. With the improvement...

Association between diagnostic history and cancer incidence within 5 years: a real-world observational analysis.

Cancer is associated with many pre-existing health conditions (PHCs), but accurately quantifying these links remains challenging. Although some studie...

Bridging In Silico Design and Experimental Validation: Virtual Screening and In Vitro Assessment of Biomimetic Anticancer Peptides Inspired by Horseshoe Crab Hemolymph Proteins.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, necessitating the development of more selective and safer the...

Nanotrap-AI Integration Enables Ultra-Sensitive Point-of-Care HIV Testing.

Early HIV detection using noninvasive samples remains challenging because oral fluid contains extremely low antibody levels and enzymatic inhibitors t...

Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.

BACKGROUND: Chest X-ray (CXR) can assess pulmonary tuberculosis (TB) severity and may guide duration of treatment. However, the optimal radiological m...

Cell-type-specific causal effects of CEBPD in CD8 + S100B + Tcells and ZFP36 in monocytes modulate the protective and risk phenotypes in psoriasis.

Psoriasis is a chronic immune-mediated inflammatory skin disease characterized by dysregulated keratinocyte proliferation, immune cell infiltration, a...

Unveiling varietal specificity in non-destructive grape quality monitoring: Explainable AI and feature selection for sugar and organic acid prediction using NIR spectroscopy.

Sugar and organic acid content are crucial factors determining grape quality. Non-destructive testing of these components aids in accurately determini...

Integrated multi-omics analysis identifies TBC1D10C as an NK- and T cell-associated diagnostic biomarker in childhood obesity.

Childhood obesity is a growing global health crisis associated with an increased risk of metabolic and cardiovascular diseases in adulthood. While acc...

Bioinformatics analysis and qRT-PCR validation of iron metabolism-related genes in pediatric asthma.

Pediatric asthma (PA) is a chronic airway disease with a complex etiology, and iron metabolism disorder is believed to be involved in its pathogenesis...