Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Research advances in key genes and regulatory mechanisms of posttranslational modifications in Parkinson's disease.

BACKGROUND: The genesis of Parkinson's disease (PD), a common central neurodegenerative disorder, involves dysregulation of protein posttranslational modifications (PTM). The primary objective of this study was to screen key PTM-associated genes (PTMGs) serving as diagnostic indicators and potential therapeutic targets in PD. METHODS: Peripheral blood transcriptomic data for PD cohorts and healthy...

Jul 24 2026 42497137

Fundus image analysis of retinitis pigmentosa using artificial intelligence.

Retinitis pigmentosa (RP) is a group of inherited retinal diseases that are caused by genetic defects that lead to progressive photoreceptor loss and eventual blindness. Early diagnosis would be helpful for effective management of the disease; however, many patients stay unaware of early symptoms. Meanwhile, fundus images are widely obtained during routine medical checkups but are underused for de...

Jul 24 2026 42497190
Artificial Intelligence and Generative Models in Hepatology: From Large Language Models to Digital Pathology in Liver Disease Diagnosis and Treatment.

Artificial intelligence (AI), particularly foundation and generative models, is reshaping the practice of hepatology through enhanced knowledge synthe...

Jul 23 2026 42487578
Artificial intelligence-augmented organ- and organoid-on-a-chip for drug screening.

Organ- and organoid-on-a-chip technologies provide critical human-relevant models for drug screening. Despite their promise, translating their complex...

Jul 23 2026 42489060
The mediating role of genes in the influence of intestinal flora on type 2 diabetes and the screening of diagnostic markers.

INTRODUCTION: The composition of intestinal flora affects the occurrence and development of type 2 diabetes to some extent, with dysregulation of the ...

Jul 23 2026 42489317
Large-Scale Plasma Proteomics Profiles for Predicting Atrial Fibrillation Associated Stroke Risk : Type of manuscript: Original Research.

BACKGROUND: Stroke is a major complication of atrial fibrillation (AF), and risk prediction using the congestive heart failure, hypertension, age, dia...

Jul 23 2026 42489810
Large language models as a screening tool for the qualification of patients with Parkinson's disease for device-aided therapies.

Motor complications become increasingly prominent as Parkinson's disease (PD) progresses. Although device-aided therapies (DAT) improve symptoms contr...

Jul 23 2026 42489906
Zebrafish as a versatile model in biomedical research, from disease modeling to regenerative medicine: a review.

Zebrafish are an effective animal model widely utilized in biomedical research. They are known for their rapid reproduction and substantial genetic si...

Jul 23 2026 42489951
DeorphaNN: Virtual screening of GPCR peptide agonists using AlphaFold-predicted active-state complexes and deep learning embeddings.

Peptide-activated G protein-coupled receptors (GPCRs) regulate physiological processes through interaction with neuropeptides and peptide hormones. Id...

Jul 23 2026 42492505
Myocardial Native T1 Mapping in the German National Cohort (NAKO): Associations with Age, Sex, and Cardiometabolic Risk Factors.

BACKGROUND: In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantitative, non-invasive tissue characterization and is...

Jul 23 2026 42492816
Diagnosis of Parkinson's Disease Based on Voice and Speech Using Machine Learning and Deep Learning: A Systematic Umbrella Review.

OBJECTIVES: Early diagnosis of Parkinson's disease (PD) is complicated. Speech impairment, as an early symptom of PD, offers a noninvasive, scalable b...

Jul 23 2026 42493288
Bridging Audience Segmentation and Message Intervention: AI-Generated HBM-Based Messages for Diabetes Prevention.

Health communication often faces a segmentation-intervention gap: psychographic segmentation identifies meaningful audience profiles, but these profil...

Jul 23 2026 42493759
ANGPTL4 in gestational diabetes: a diagnostic biomarker linked to placental senescence.

Current diagnostic methods for Gestational Diabetes Mellitus (GDM) inadequately reflect early placental pathophysiology. Accelerated cellular senescen...

Jul 23 2026 42487020
Artificial intelligence in impurity prediction: current landscape, challenges, and future directions.

Earlier identification, regulation of impurities in pharmaceutical products is critical throughout the medication development process because they hav...

Jul 23 2026 42487063
Digital phenotyping of CGM engagement reveals distinct glycemic outcomes.

Benefits from continuous glucose monitors (CGMs) may depend on how devices are used over time-not only how often they are used. We linked one year of ...

Jul 23 2026 42490562
Mol2Image: an enhanced DDI prediction framework leveraging drug molecular descriptors.

Drug-drug interactions (DDIs) are a critical safety issue in clinical practice, as they can lead to severe and often unpredictable adverse effects. Th...

Jul 22 2026 42493778
AI interventions in cancer screening: balancing equity and cost-effectiveness.

This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and...

Jul 22 2026 40295097
Hypertension-associated DNA methylation signatures and multi-generational epigenetic clocks in Korean adults.

Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging and blood pressure remains unclear. This epigenome...

Jul 22 2026 42481862
AI-based Synthetic CT Angiography from Non-contrast CT for Cerebrovascular Disease Screening.

BACKGROUND: CT angiography (CTA) is a key investigation in cerebrovascular disease. However, CTA is not always available and it also requires intraven...

Jul 22 2026 42483869
Everything All at Once: On Choosing an Estimand for Multi-component Environmental Exposures.

Many research questions-particularly those in environmental health-do not involve binary exposures. In environmental epidemiology, this includes multi...

Jul 22 2026 42484456
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