Prevention

Cardiac Rehabilitation for Coronary Artery Disease: Gaps, Digital Models, and the Future of Personalized Prevention.

Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery disease representing the primary driver of premature death. Cardiac rehabilitation (CR) is a cornerstone of secondary prevention that integrates exercise, risk factor modification, and education. CR reduces all-cause mortality, recurrent ischemic events, and improves quality of life. Yet, participat...

A chalcone-rich extract from licorice root inhibits liver steatosis and fibrosis via regulating PPARα and TGFβ signaling.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major liver disorder, which seriously affects human health globally. However, there are currently no satisfactory treatments for MASLD. The extraction of licorice root (Glycyrrhiza inflata Bat.) has multiple therapeutic effects, but it has not yet been fully explored for its therapeutic potential to liver steatosis a...

Advances in the Application of Digital Health Technologies in the Management of Patients With Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) is a chronic disorder that requires long-term follow-up and individualized management. With the rapid development of ...

Advances in occult cancer screening for patients with unprovoked venous thromboembolism: A narrative review of epidemiology, risk, and clinical strategies.

BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probability of detecting occult cancer in unprovoked VTE ...

Exploring Patients' Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial.

OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyr...

Differential factor effects in comorbid depressive and anxiety symptoms (CDAS): A machine learning approach to individualized mental health promotion.

BACKGROUND: Depression and anxiety comorbid presents greater severity than isolated symptoms. Traditional analyses often fail to capture complex inter...

Genetic and epigenetic determinants of injury risk and recovery in elite athletes: toward precision sports medicine.

Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for sustaining elite athletic performance. Despite adv...

Foods from the Mayan milpa: proposal for the metabolic syndrome management.

BACKGROUND: The growing prevalence of metabolic syndrome (MS) is a major public health issue. The traditional Maya milpa diet (MayDiet) offers a promi...

Analysis of the influential factors of depression in the elderly based on CHARLS through partial least squares structural equation and random forest modeling.

OBJECTIVE: We aimed to explore how influential factors, such as chronic diseases, disability and social support, affect depressive symptoms in older a...

Statin-Induced Decade-Long Stabilization of Noncalcified Coronary Plaque Despite a Zero Calcium Score.

BACKGROUND: A 48-year-old man with a coronary artery calcium (CAC) score of 0 underwent serial artificial intelligence (AI)-assisted coronary computed...

Toward Scalable Electromyography in Oncology: A Narrative Review of Normalization Challenges and Machine Learning Innovations.

OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impairment, treatment toxicities, and rehabilitation o...

Gut microbiome profiles and associated functional pathways are linked to Mediterranean diet adherence and blood glucose control in adults with type 1 diabetes mellitus.

BACKGROUND AND AIMS: The Mediterranean diet (MD) has been associated with better glycaemic control in children with type 1 diabetes mellitus (T1DM) an...

Artificial intelligence‑based quantitative analysis of hepatic fibrosis in carbon tetrachloride-induced mouse model of metabolic dysfunction-associated steatohepatitis.

UNLABELLED: Liver fibrosis, a major histopathological indicator of chronic liver injury, is also a key feature of metabolic dysfunction-associated ste...

An AI-Assisted Adaptive Boolean Rubric for exercise prescription evaluation: A pilot validation study.

BACKGROUND: The quality assessment of personalized exercise prescriptions is currently hampered by the subjectivity and inefficiency of traditional ra...

Molecular targeted therapies, omics, and AI based theranostics approaches for the treatment of prostate cancer.

Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells, some of which can spread and migrate to other tis...

Artificial intelligence in spine care: A scoping review of treatment applications.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in healthcare to support decision-making, personalize treatment, and improve outcomes...

Drug Repurposing in Oncology: A Strategic Pathway to Unlocking New Therapeutic Potential.

The growing number of cancer cases and deaths highlights the urgent need for innovative treatment approaches. One technique that has lately been recog...

Integrating multi-omics data for personalized nutrition using knowledge graphs and graph neural networks: A comprehensive review.

This comprehensive review focuses on the use of knowledge graphs and Graph Neural Networks (GNNs) to integrate multi-omics data in the field of person...

Effects of Real-Time Notification of AI-Detected Incidental Coronary Artery Calcium on Statin Prescription: The NOTIFY-PICTURE Trial.

A systematic review of the role of wearable devices and artificial intelligence applications in assessing functional outcomes after lumbar fusion.

BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fusion surgeries have become more prevalent. There ha...