Primary Care

Toward the prevention of clinically manifest Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to affect unprecedented numbers of individuals by 2050. At the same time, PD research is undergoing a profound conceptual transformation. Advances in molecular neuropathology, genetics, biomarker science, artificial intelligence, multimodal imaging, digital medicine, and precision therapeutics are resh...

Plasma proteomics linking primary and secondary diseases: Insights into molecular mediation from UK Biobank data.

BACKGROUND: Diabetes, hypertension, and dyslipidemia are major risk factors for cardiovascular, neurological, renal, and pulmonary diseases, yet clinically accessible molecular mediators linking these cardiometabolic conditions to downstream complications remain unclear. METHODS: We analyzed plasma proteomic data from 53,030 UK Biobank participants with longitudinal follow-up. Mediation analysis e...

Machine Learning Approaches to Identify Influential Factors of the Comorbid Psychiatric Symptoms and Hypertension Among Rural Adults in Bangladesh: A Cross-Sectional Study.

BACKGROUND AND AIM: The burden of both psychiatric symptoms (anxiety and/or depression) and hypertension poses significant public health challenges in...

A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.

OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 diabetes mellitus (T2DM) using routinely available...

Performance, Safety, and Patient Experience of an Autonomous Robotic Phlebotomy Device: A Multicenter Trial.

BACKGROUND: Automated phlebotomy has the potential to improve patient outcomes and address phlebotomist workforce challenges. The Autonomous Blood Dra...

Toward intelligent wearables: engineering self-powered triboelectric nanofiber sensors for the classification of risky ankle postures.

Triboelectric nanogenerators (TENGs) have emerged as promising platforms for self-powered sensing and real-time biomechanical monitoring. However, cur...

Addressing the Global Disparities in Access to Treatment in Spinal Muscular Atrophy.

The advent of novel disease-modifying therapeutics for spinal muscular atrophy (SMA) increased life expectancy with better motor function and potentia...

Adaptive cascading artificial intelligence for Alzheimer's disease assessment: a clinically oriented narrative review and implementation framework.

Artificial intelligence (AI) has achieved remarkable success in the diagnosis of Alzheimer's disease (AD) in the literature, where many of the models ...

Artificial Intelligence and Digital Technologies in Prakriti Assessment: Toward Standardized Evidence-Based Ayurvedic Practice.

Prakriti, the Ayurvedic concept of individual somatic constitution, forms the foundation for personalized preventive and therapeutic strategies by cla...

Clinical and Echocardiographic Factors Associated With AI-Estimated Atrial Fibrillation Likelihood During Sinus Rhythm in Patients With Documented Paroxysmal Atrial Fibrillation.

BACKGROUND: Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a promising tool for identifying patients with atrial fibrilla...

Place-based ecological restoration and self-rated health: Quasi-experimental evidence from China.

Large-scale ecological restoration is increasingly promoted as a strategy for environmental sustainability, but its implications for population health...

Identification of Activity, Insulin, and Dietary Thresholds Associated With Exercise-Related Hypoglycaemia and Hyperglycaemia in Children With Type 1 Diabetes: A Free-Living Study Using Explainable Machine Learning.

AIMS: Some studies have explored associations between physical activity (PA) and hypoglycaemia in real-life in type 1 diabetes (T1D) but without fully...

Establishing diagnostic thresholds for adult ADHD screening in taxi drivers: validation of the CAARS-S via Item Response Theory and Machine Learning.

BACKGROUND: Adult Attention-Deficit/Hyperactivity Disorder (ADHD) is under-recognized in professional drivers, yet it poses significant safety risks. ...

Leveraging machine learning with real-world data for hypothesis generation by identifying exposomic predictors in Parkinson's disease among farmers.

BackgroundMachine learning offers new avenues for complementing traditional epidemiological approaches by analyzing routinely collected, population-ba...

Prediction of coronary atherosclerosis progression in type 2 diabetes mellitus based on AI-derived CCTA parameters and clinical factors: a follow-up study.

OBJECTIVE: To develop a predictive model for coronary atherosclerosis progression in patients with type 2 diabetes mellitus (T2DM) based on Artificial...

Accuracy of portable artificial intelligence-supported fundus camera in the screening of diabetic retinopathy in primary care.

OBJECTIVE: Research on the use of portable fundus cameras utilizing artificial intelligence (AI) for diabetic retinopathy (DR) screening in primary ca...

Contrastive Learning-Powered Ultrafast Genome-Wide Virtual Screening: The Rise of DrugCLIP.

Virtual screening (VS) stands as a cornerstone of early-stage drug discovery, yet long-standing hurdles-including prohibitive computational cost and l...

Global Diabetes: Rapidly Changing Landscape and a Rising Tide of Opportunities: The 2025 Distinguished International Service in the Cause of Diabetes Award Lecture.

Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- and middle-income countries (LMICs), with major heal...

Risk Stratification for Postpartum Hemorrhage in Vaginal Delivery: A Nationwide Cohort Study of Predelivery and Intrapartum Risk Assessment.

AIM: To develop and validate machine learning models for clinically applicable risk stratification of postpartum hemorrhage (PPH) in vaginal delivery,...

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment.

Driven by changes in lifestyle and environmental factors, the global incidence of cancer is steadily increasing, which has established it as a leading...