Obesity

Redefining obstructive sleep apnea diagnosis: An attention augmented CNN-BiLSTM hybrid alternative to traditional PSG testing.

Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repeated episodes of upper airway obstruction during sleep. Despite its health risks, OSA often goes undiagnosed, as many individuals are unaware of the condition or misattribute its symptoms such as daytime fatigue or restlessness to poor sleep or lifestyle factors. Traditional diagnostic methods like polysomnography (PSG) ...

From ChatGPT to UroGPT: A guideline-trained artificial intelligence model for male infertility.

BACKGROUND: ChatGPT is not yet sufficiently reliable for answering clinical questions relevant to direct patient care. We hypothesized that a GPT model trained exclusively on expert guidelines would provide more accurate, guideline-concordant responses. MATERIALS AND METHODS: With permission from the European Association of Urology, we developed UroGPT, a custom GPT model trained solely on the Eur...

Frailty trajectories and risk of incident advanced CKM syndrome: A national cohort analysis.

BACKGROUND: The interplay between frailty dynamics and the newly defined Cardiovascular-Kidney-Metabolic (CKM) syndrome remains poorly understood. We ...

Machine learning-driven identification of shared and disease-specific mitochondria-related genes in COPD, NSCLC, and NSCLC with COPD.

Chronic obstructive pulmonary disease (COPD) and non-small-cell lung cancer (NSCLC) often coexist; here, the shared mitochondrial drivers were investi...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...

Automated neural network femur segmentation performance in computed tomography images of older adults with obesity.

Femur segmentation is a precursor to image analysis pipelines that evaluate hip bone measures with subject-specific finite element models, but histori...

Unbiased Characterization of Atrial Fibrillation Phenotypic Architecture Provides Insight Into Genetic Liability and Clinically Relevant Outcomes.

BACKGROUND: Atrial fibrillation (AF) is a common and clinically heterogeneous arrhythmia. Machine learning algorithms can define data-driven disease s...

Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models.

Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Its tendency for postoperative distant metastasis significa...

The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.

Global population aging and increased chronic stress due to numerous mass disasters including those related to pandemics, climate change, war, displac...

Machine learning and SHAP-based interpretation of dietary antioxidants' impact on comorbid MDD and suicidal ideation.

OBJECTIVE: To develop and validate a machine learning model for predicting major depressive disorder (MDD) with suicidal ideation (SI) by incorporatin...

Fast cardiac magnetic resonance (CMR) protocol for biventricular functional assessment and tissue characterisation.

BACKGROUND: Clinical use of cardiovascular magnetic resonance (CMR), reference tool for cardiac function and myocardial tissue assessment, is frequent...

The BUDS (Balanced nUtrition through Daily School meals) program improved school meal intake and promoted healthy growth and eating behaviors in elementary school children.

School meals play a critical role in the daily nutrition of children and the development of lifelong eating habits. The objective of this study was to...

[Artificial intelligence prediction of surgical difficulty in mid-low rectal cancer: a single-center cohort study].

Objective: This study processes and analyzes rectal MRI images of patients with mid-to-low rectal cancer using deep learning technology, and integrate...

Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group.

BACKGROUND: Bipolar disorder (BD) is associated with clinical and biological markers of premature aging. In this largest study of brain age in BD to d...

NIPSNAP3B elevates mitochondrial biogenesis to attenuate lipid accumulation in childhood obesity via AMPK pathway.

OBJECTIVE: Childhood obesity (CO) has become a global epidemic, leading to rising burden of many diseases and premature death. Thus, this study was co...

An integrated machine learning framework for developing a transcriptomic analysis and machine learning-based diagnostic model of gout based on sleep disorder-related genes.

Gout, often comorbid with sleep disorders (SDs), is prevalent in inflammatory arthritis. This comorbidity is notable in patients with impaired renal f...

A Multimodal Neuro-Demographic Signature for Immuno-Metabolic Depression.

BACKGROUND: The underlying neurobiology of a recently described immuno-metabolic depression (IMD) subtype of major depressive disorder (MDD), characte...

Sleep deprivation and epiretinal membrane risk: Machine learning findings from a nation-wide survey.

PURPOSE: This cross-sectional study explored the association between sleep deprivation and epiretinal membrane (ERM) using machine learning applied to...

Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity.

BACKGROUND: Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phenotypes and disease severity is poorly ...

Associations between prenatal exposure to indoor air pollution and ambient particulate matter with infant growth.

Despite growing concern, the developmental effects of prenatal exposure to indoor and ambient particulate pollution remain poorly characterized. This ...