Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Adiposome Lipidomic Shifts Following Bariatric Surgery in Association With Weight Loss and Cardiometabolic Benefit.

CONTEXT: Adiposomes carry bioactive lipids that shape systemic metabolism and vascular function. OBJECTIVE: Building on our previous findings that obese adiposomes are ceramide/free fatty acid-enriched and linked to dysfunction, we tested whether bariatric surgery remodels adiposome lipidomes and whether these shifts track with metabolic and vascular improvements. METHODS: Twenty-three obese indiv...

Mar 17 2026 41137449

Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors.

BACKGROUND/OBJECTIVES: This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood using explainable artificial intelligence, integrating adult BMI polygenic scores (PGS), maternal, early-life, and familial factors to identify key predictors of obesity risk and inform prevention strategies. SUBJECTS/METHODS: We analyzed longitudinal data from the Raine Study Ge...

Mar 16 2026 41839989
Insulin resistance prediction from wearables and routine blood biomarkers.

Insulin resistance (IR), a primary precursor to type 2 diabetes, is characterized by impaired insulin action in tissues1. However, diagnostic methods ...

Mar 16 2026 41840032
Why nonlinear models matter: unified analysis of cognitive load, stress, and exercise using wearable physiological signals.

\textbf{Objective:} Physiological measurements obtained from wearable devices reflect complex autonomic nervous system dynamics that are often ass...

Mar 13 2026 41825135
A Multidisciplinary Approach for Predicting the Microbiological Spoilage of Chicken Breast Fillets due to Cold-chain Disruption.

Cold-chain disruptions during storage and distribution of raw poultry can significantly reduce product shelf-life and safety. This study evaluated the...

Mar 12 2026 41831647
Identifying serum amino acid as biomarkers of gestational diabetes mellitus in second-trimester among Chinese pregnant women: a machine learning-based cross-sectional study.

BACKGROUND: Levels of plasma branched-chain and aromatic amino acids in pregnancy have been associated with gestational diabetes mellitus (GDM), but t...

Mar 12 2026 41821013
24-hour physical activity, sedentary behaviour and sleep profiles in individuals with cancer: a UK Biobank cohort study.

BACKGROUND: Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, are disrupted following cancer and contribute to c...

Mar 12 2026 41819789
Mortality score in chronic coronary syndrome: prediction model from the ISCHEMIA trial.

AIMS: Accurate stratification of mortality risk is essential for management of chronic coronary syndromes (CCS), but existing models focus primarily o...

Mar 11 2026 41812133
Generating coordinated bounding locomotion for a small-scale quadrupedal robot with thoracic-pelvic articulation via reinforcement learning.

Small-scale cursorial quadrupedal animals coordinate their spines and limbs for rapid and agile locomotion. Although small-scale quadruped robots have...

Mar 10 2026 41730248
Incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery.

OBJECTIVES: We aimed to explore the incidence rate of and risk factors for anorectal diseases in primiparae in the first 6 weeks following delivery, a...

Mar 10 2026 41800798
Personalised health plan development using agentic AI in Singapore's national preventive care programme: a pilot study.

The workforce shortages caused by aging populations demand a transition from reactive to preventive healthcare strategies. Generative Artificial Intel...

Mar 9 2026 41803278
Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.

AIMS: Despite the proven efficacy of GLP-1 receptor agonists (GLP-1 RAs), many patients with type 2 diabetes (T2DM) are not able to achieve glycaemic ...

Mar 9 2026 41804217
Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography.

To evaluate a new deep learning (DL) motion correction (MC) software based on partial angle reconstruction (PAR) to reduce motion artifacts in patient...

Mar 9 2026 41796268
A Piezoionic Hydrogel-Based Electrochemical Strain Sensor for Self-Powered Pulse Monitoring and Machine Learning-Assisted Speech Recognition.

Hydrogel-based strain sensors are attractive for wearable electronics owing to their stretchability, self-healing, and biocompatibility. However, conv...

Mar 9 2026 41800602
Estimating proton density fat fraction using computed tomography attenuation in skeletal muscle and adipose tissue in a prospective clinical cohort.

BACKGROUND: Proton density fat fraction (PDFF) measured using magnetic resonance imaging (MRI) is considered a noninvasive reference measure of fat de...

Mar 7 2026 41802496
Enhanced forecasting of friction and cohesion of augmented unsaturated soil with nanostructured quarry fines (NQF) addition.

Shear strength parameters such as friction angle and cohesion are fundamental to solving geotechnical engineering problems related to slope stability,...

Mar 7 2026 41795034
Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass.

BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of elective aortobifemoral artery bypass for aortoiliac ...

Mar 6 2026 41796667
Modifiable risk factors associated with increased retinal age gap in an Australian population.

Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates biological ageing that has been linked to the risk o...

Mar 6 2026 41790169
Body mass index and diet-related inflammation as predictors of sleep disorders: A cross-sectional study.

This study examines diet as a key risk factor for sleep disorders and integrates physiological indicators to develop a machine learning (ML)-based mod...

Mar 6 2026 41790690
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