Obesity

AI-enabled psychometric and psychophysiological assessment in psychiatric comorbidity of oncology patients: A systematic review.

BACKGROUND: The state of psychological distress, including depression and anxiety, is very common among patients with cancer. Common screening tools are usually subjective and limited in terms of their abilities to monitor continuous. AIM: The purpose of the systematic review was to assess the efficiency of artificial intelligence (AI)-based models as detectors of psychological distress among the ...

Exposome-wide patterns predict brain health in aging.

Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference between chronological and predicted brain age- relates to many factors. However, a holistic view, integrating the range of factors an individual brain is exposed to, is missing for understanding how the exposome shapes brain health. After computing ...

Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.

A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibi...

Objective prediction of siesta based on machine learning and association with obesity.

OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and objective data-temperature (T), activity (A), positi...

Co-occurrence patterns of malnutrition indicators among children in sub-Saharan Africa.

BACKGROUND: Despite progress towards SDG2, malnutrition remains a major concern. Little is known about co-occurrence patterns of nutritional deficits,...

Preoperative MRI-Derived Navigation Reduces Radiation Exposure in Pediatric Spinal Fusion.

BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical due to the cumulative lifetime effects of ionizing ...

Targeting immunosenescence in lung diseases: mechanistic insights and clinical interventions.

Immunosenescence, the age-related decline in immune function, plays a crucial role in the pathogenesis and progression of lung diseases, including chr...

Artificial Intelligence in in vitro Fertilization toward Precision, Efficiency, and Ethical Reflection.

Infertility is a global public health problem, which affects millions of people globally and has great social, psychological, and economic consequence...

EXPRESS: Static and dynamic perspective on brain activity and functional connectivity alternations in the comorbidity of chronic pain and depression: An fMRI study in rats.

BACKGROUND: Clinically, chronic pain and depression often coexist in multiple diseases and reciprocally reinforce each other, which greatly escalates ...

Health Prediction Using Hybrid Deep Learning Models: A Transparent and Interpretable Approach.

Obesity has become alarming globally, with mounting health emergencies related to a number of chronic conditions like cardiovascular disease, diabetes...

Predicting minimal clinically important difference after hip arthroscopy: logistic regression versus machine learning.

PURPOSE: Hip arthroscopy outcomes for femoroacetabular impingement (FAI) remain heterogeneous, with 30-40% of patients failing to achieve meaningful i...

Assessing predictive accuracy of 2D digital templating in fluoroscopy-guided direct anterior approach total hip arthroplasty.

INTRODUCTION: Preoperative 2D digital templating aids surgical planning in total hip arthroplasty (THA). We evaluated template accuracy by comparing p...

An Expedited Chart Review Process for Large Database Studies Using Natural Language Processing and Multiwave Adaptive Sampling.

BACKGROUND: One of the ways to enhance analyses conducted with large claims databases is by validating the measurement characteristics of the code-bas...

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...

Beyond identification: inferring physical activity from fingerprint lipids using machine learning.

Fingerprints are a widely recognized form of forensic evidence, valued for their ability to link individuals with specific locations. Traditional fing...

A novel predictive model for evaluating thrombus regression in postpartum venous thromboembolism patients.

INTRODUCTION: Antithrombotic evaluation of postpartum venous thromboembolism (VTE) after anticoagulant therapy is challenging because of the lack of h...

Trajectories and outcomes in patients with cardiogenic shock receiving heart replacement therapies.

BACKGROUND: Data describing trajectories of cardiogenic shock (CS) patients undergoing heart replacement therapies (HRT) remain limited. We aimed to c...

Artificial Intelligence in Skin Inflammation and Oncology: Diagnostic Innovations in Dermatology.

Skin cancer is a prevalent public health problem worldwide, caused by multiple factors like ultraviolet (UV) radiation, environmental toxins, and life...

Integrating Machine Learning into Fracture Liaison Services: Toward precision risk stratification in osteoporosis care: A prospective cohort study.

BACKGROUND: Traditional fracture risk assessment tools have limitations in accurately predicting re-fracture risk. Machine learning (ML) approaches of...

Advances in cataract surgery: is a new era on the horizon?

PURPOSE OF REVIEW: To summarize recent technological, procedural and material advances that are reshaping cataract surgery and to appraise their impli...