Diabetes

Plasma proteomic signatures linking preserved ratio impaired spirometry to cardiometabolic diseases and multimorbidity: A longitudinal cohort study.

BACKGROUND: Preserved ratio impaired spirometry (PRISm), defined by reduced FEV1 with preserved FEV1/FVC ratio, has been linked to cardiometabolic diseases (CMDs), but underlying mechanisms remain unclear. This study aims to identify plasma proteomic signatures linking PRISm to type 2 diabetes (T2D), ischaemic heart disease (IHD), stroke, first cardiometabolic disease (FCMD), and cardiometabolic m...

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and its prevalence is increasing by more than 55 million people globally, with an expected increase of 139 million cases by 2050. AD is characterized by Amyloid-β plaque deposition, tau hyperphosphorylation, synaptic dysfunction, neuroinflammation, and ox...

Predictive performance of artificial intelligence algorithms for gestational diabetes mellitus in pregnant women: a protocol for systematic review and meta-analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication that can pose numerous adverse health effects on both mothers an...

Large-scale AI analysis reveals missed opportunities in albuminuria testing and disease-modifying therapy implementation.

BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD), associated with adverse cardiovascular and renal...

Beyond Weight: Systems Biology and Precision Medicine Redefine Obesity as a Multidimensional Disease.

BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obesity. Systems biology offers a new framework by in...

Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes.

Type 2 diabetes (T2DM) and periodontitis are bidirectionally linked diseases that both involve chronic inflammation; their co‑occurrence represents a ...

Enhancing prediabetes and diabetes detection through a machine learning-enabled self-assessment approach.

OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is lacking, leading to missed opportunities for early...

Integrating generative AI and genetic causal inference identifies metformin as a repurposing candidate for normal tension glaucoma.

The normal tension glaucoma (NTG) has limited drug options since current antiglaucoma medications are mostly designed to decrease intraocular pressure...

Voice Biomarkers: Cognitive Impairment, including Alzheimer's Disease, Dementia, or Mild Cognitive Impairment: Introduction to Peripheral Neuropathy.

INTRODUCTION/OBJECTIVE: Alzheimer's disease (AD) can cause certain nervous disorders, which in turn can lead to voice disorders and abnormal values fo...

Improving Diabetic Foot Care With Infrared Thermography and Artificial Intelligence: A Review.

BACKGROUND: One of the most common consequences in individuals with diabetes is the diabetic foot, which can cause foot ulcers and even lead to limb a...

Synthetic data-augmented machine learning for 30-day readmission prediction in patients with chronic conditions: a retrospective real-world study.

OBJECTIVES: To develop and evaluate an explainable machine learning framework enhanced with synthetic data generation to predict unplanned 30-day hosp...

SoleFusion-Net: an explainable multimodal deep learning framework for diabetic foot syndrome classification in type II diabetes mellitus.

SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validation.

Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin resistance and insulin secretion deficits. Althou...

Precision Risk Model Using Quantitative Assessment of Vascular Severity in Telemedicine-Based Screening.

IMPORTANCE: Retinopathy of prematurity (ROP) screening requires frequent examinations to avoid missed treatment-requiring disease, but this approach i...

Retinal vascular phenotyping for early detection of coronary artery disease: quantitative assessment and diagnostic modelling.

OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the effi...

Artificial Intelligence-Guided Optimization of Hyaluronic Acid-Coated Liposomal Linagliptin for Targeted Management of Polycystic Ovary Syndrome.

Linagliptin, a DPP-4 inhibitor commonly used in the management of diabetes mellitus, has shown potential activity in polycystic ovary syndrome (PCOS)....

Biochemical biomarker-Driven deep learning framework with SHAP-based feature interpretation for diabetes classification.

Diabetes mellitus is a long-term metabolic condition that develops when the body cannot produce insulin effectively or use it properly. Individuals us...

Traffic noise, air pollution, and greenness in relation to age-related macular degeneration: Evidence from a cross-national cohort study.

Age-related macular degeneration (AMD) is influenced not only by biological factors but also by the broader urban environment, yet evidence integratin...

A lightweight and explainable cardiac signal framework for screening-oriented cardiometabolic risk assessment.

Early identification of cardiometabolic and autonomic dysfunction using electrocardiogram (ECG) signals is essential for preventive cardiovascular scr...

A fundus image dataset for intelligent diabetic retinopathy system.

Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the...