Primary Care

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

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Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease.

BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetes mellitus ...

Deep learning-enhanced hyperspectral imaging for rapid screening of Co-metabolic microplastic-degrading bacteria in environmental samples.

Microbial biodegradation of microplastic (MP) emerges as an environmentally benign and highly promis...

Detection and prevalence of avian influenza epidemic in the southwest of Poyang Lake and analysis of the influence of meteorological factors.

Recently, the epidemiological profile of avian influenza has changed dramatically worldwide. Avian i...

Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.

BACKGROUND/OBJECTIVES: Obesity is a global health issue, and in this context, bariatric surgery is c...

Bioanalysis of antihypertensive drugs by LC-MS: a fleeting look at the regulatory guidelines and artificial intelligence.

Hypertension is a multifaceted cardiovascular disease, a significant risk factor for stroke, heart a...

Enhancing medical AI with retrieval-augmented generation: A mini narrative review.

Retrieval-augmented generation (RAG) is a powerful technique in artificial intelligence (AI) and mac...

Computational modelling for risk assessment of neurological disorder in diabetes using Hodgkin-Huxley model.

BACKGROUND: Diabetes mellitus, characterized by chronic glucose dysregulation, significantly increas...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural ...

A random forest-based predictive model for classifying BRCA1 missense variants: a novel approach for evaluating the missense mutations effect.

The right classification of variants is the key to pre-symptomatic detection of disease and conducti...

Diagnostic MicroRNA Signatures to Support Classification of Pulmonary Hypertension.

BACKGROUND: Patients with pulmonary hypertension (PH) are classified based on disease pathogenesis a...

Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy.

Dysbiosis refers to the disruption of the gut microbiota balance and is the pathological basis of va...

Machine Learning Models for Predicting Type 2 Diabetes Complications in Malaysia.

This study aimed to develop machine learning (ML) models to predict diabetic complications in patien...

Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.

Osteoinduction is an important feature of the next generation of bone repair materials. But the key ...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications ...

Constructing a screening model to identify patients at high risk of hospital-acquired influenza on admission to hospital.

OBJECTIVE: To develop a machine learning (ML)-based admission screening model for hospital-acquired ...

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