Diabetes

Temporal machine learning framework for diabetic foot ulcer healing trajectory prediction.

OBJECTIVES: Diabetic foot ulcer management relies predominantly on reactive treatment adjustments ba...

An explainable ensemble for diabetic retinopathy grading with a novel confidence quality factor and configurable heatmaps.

Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models.

BACKGROUND: As Singapore adopts a population health approach under Healthier Singapore (Healthier SG...

De novo biosynthesis of eriocitrin in Saccharomyces cerevisiae through deep learning-guided enzyme screening and systematic metabolic engineering.

Eriocitrin, a flavanone-7-O-disaccharide known for its antioxidant and anti-inflammatory properties,...

Automated diagnosis of plus form and early stages of ROP using deep learning models.

Retinopathy of Prematurity (ROP) represents a critical ophthalmological pathology affecting prematur...

Risk stratification in diabetic kidney disease: a review of prediction models for methodological advances and clinical application.

BACKGROUND: Diabetic kidney disease (DKD) represents the leading cause of end-stage renal disease (E...

Artificial intelligence approaches for non-invasive diabetes prediction using ECG signals: A systematic review.

Diabetes is a major global health challenge, with many individuals remaining undiagnosed due to the ...

Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint.

In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positi...

Genetic polymorphisms in DNA repair gene XRCC1 and the risk of diabetic polyneuropathy.

Prediction of recurrent ischemic stroke using machine learning from real-world data.

BACKGROUND: Recurrent ischemic stroke (RIS) is a significant challenge in Malaysia, affecting approx...

An enhanced diabetes prediction using an improved hybrid deep learning algorithm with mountain gazelle optimizer.

Diabetes is one of the global health challenges and requires early detection and an accurate diagnos...

[Efficacy prediction of acupuncture and moxibustion combined with conventional treatment for PCOS-IR based on real-world data: machine learning and interpretability analysis].

OBJECTIVE: To construct an efficacy prediction model for polycystic ovary syndrome with insulin resi...

Development of machine learning-driven non-invasive diagnostic models for idiopathic membranous nephropathy in Chinese patients.

BACKGROUND: Idiopathic membranous nephropathy (IMN) is a major cause of nephrotic syndrome and end-s...

RenoTrue: A diabetes-specific machine learning model to estimate glomerular filtration rate for people with diabetes.

BACKGROUND: Existing methods for estimating GFR in people with diabetes have shown inaccuracies when...

AI-Guided Design of pH- and Redox-Responsive Lignin@GO@ZIF-8 Nanocarriers for Targeted Co-Delivery of 5-Fluorouracil and Metformin in Prostate Cancer Therapy.

Prostate cancer therapy is limited by systemic toxicity and inefficient tumor-selective delivery. He...

The Accuracy of Artificial Intelligence Models in Carpal Tunnel Diagnosis: A Systematic Review and Meta-analysis.

BACKGROUND: Artificial intelligence (AI) has been integrated into diagnostic modalities like nerve c...

Real-world Study of Three-gas Breath Testing Nationwide and the Association With Symptoms.

GOALS AND BACKGROUND: Hydrogen (H 2 ) breath testing (BT) is used to diagnose small intestinal bacte...

Identification of severe hypoglycemia in adults with type 1 diabetes using CGM-based machine learning: evidence from the FGM-Japan study.

BACKGROUND: Severe hypoglycemia (SH) in adults with type 1 diabetes mellitus (T1DM) is associated wi...

Validation of a Trained AI Imaging Model for Detecting Diabetic Foot Deformities.

Diabetes is a leading cause of morbidity and mortality, contributing to complications such as cardio...

Integrated network pharmacology and bioinformatics analysis reveals MME as key target of Notoginsenoside R1 in diabetic nephropathy.

BACKGROUND: Diabetic nephropathy (DN) is a major diabetes complication and a primary cause of end-st...

Artificial Intelligence in Nutrigenomics: A Critical Review on Functional Food Insights and Personalized Nutrition Pathways.

BACKGROUND: This review critically evaluates the applications of artificial intelligence in nutrigen...