Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Systemic lupus erythematosus (SLE) patients face a 5-tenfold increased risk of atherosclerosis (AS), with subclinical lesions often progressing asymptomatically until life-threatening cardiovascular events occur. This study aimed to identify reliable molecular biomarkers for the early detection of SLE-associated AS. METHODS: Transcriptomic datasets (GSE154851 for SLE, GSE100927 for AS)...
Systemic hypertension (HTN) is a major cardiovascular comorbidity in patients with obstructive sleep apnea (OSA), yet these conditions are often diagnosed and managed independently, limiting integrated cardiovascular risk assessment. There is a significant gap in scalable automated frameworks for the screening of hypertension using routinely collected polysomnography (PSG) signals. To address this...
BACKGROUND: Dyslipidemia is a multifactorial and complex condition that warrants investigation through advanced analytical approaches such as machine ...
AIMS: Achieving optimal glycaemic control remains a burden for many people with diabetes on intensive insulin treatment. The MELISSA trial aims to cli...
BACKGROUND: Prenatal depression is highly prevalent and associated with early-life adversities like adverse childhood experiences (ACEs) and school bu...
Chronic inflammatory skin diseases (CISDs) such as psoriasis (PsO), atopic dermatitis (AD), and hidradenitis suppurativa (HS) involve both cutaneous a...
BACKGROUND: Evidence is limited on whether daily step counts are uniform across individuals or whether combining them with genetic risk improves predi...
Accurately predicting HIV-1 sensitivity to broadly neutralizing antibodies (bNAbs) is a critical step in advancing the development of effective therap...
BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to...
BACKGROUND: Hypertension is a major cause of death and disability, and undiagnosed cases are particularly dangerous as they can cause severe damage wi...
OBJECTIVE: To systematically evaluate the diagnostic performance of artificial intelligence (AI) models for hepatocellular carcinoma (HCC) and to pool...
BACKGROUND: The rapid development of artificial intelligence, particularly large language models (LLMs) such as ChatGPT, Gemini, and Claude, offers ne...
PURPOSE: Nuclear emergency medical rescue is a critical component of the nuclear emergency response system, playing a vital role in safeguarding publi...
BACKGROUND: Conventional age-based breast cancer screening ignores substantial inter-individual risk variation, contributing to overdiagnosis, false p...
BACKGROUND: Health promotion aims to strengthen individuals' and communities' capacity to maintain health and well-being through behavior change, empo...
Ischemic heart disease (IHD) remains the leading global cause of mortality and morbidity. Current diagnostic approaches face significant limitations i...
INTRODUCTION: Current CALR mutation screening in myeloproliferative neoplasms (MPNs) faces a trade-off between coverage and cost: allele-specific qPCR...
Defining molecular pathways driving Ī²-cell failure in type 2 diabetes (T2D) is challenging given donor heterogeneity. We developed an interpretable ma...
INTRODUCTION: Beauty standards have undergone profound changes over time, with historical depictions of the female body often favoring fuller figures,...
BACKGROUND/AIM: Breast cancer (BC) remains a major health threat, highlighting the need for accessible screening. Characteristics of the cardiovascula...