Alternative Medicine

From traditional medicine to modern medicine: the importance of TCM regulatory science (TCMRS) as an emerging discipline.

Traditional Chinese medicine (TCM) has become a standardized medical system through systematic devel...

The liver reconditioning in critical care medicine.

PURPOSE OF REVIEW: Machine perfusion has emerged as a transformative alternative to static cold stor...

Exploring the association between volatile organic compound exposure and chronic kidney disease: evidence from explainable machine learning methods.

BACKGROUND: Chronic Kidney Disease (CKD) affects approximately 697.5 million people worldwide. Volat...

Artificial intelligence and the wellbeing of workers.

This study explores the relationship between artificial intelligence (AI) and workers' well-being an...

Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits.

Electronic health records, biobanks, and wearable biosensors enable the collection of multiple healt...

Examining the biological causes of eating disorders to inform treatment strategies.

Despite their prevalence, eating disorders (EDs) are under-researched and often misunderstood. A rec...

Causal inference in the diagnosis and prognosis of ovarian cancer: current state and future directions.

Ovarian cancer represents one of the most lethal gynecologic malignancies, characterized by low earl...

Understanding the evidence for artificial intelligence in healthcare.

A scoping review and evidence gap analysis of clinical AI fairness.

The ethical integration of artificial intelligence (AI) in healthcare necessitates addressing fairne...

Fossil evidence of proboscidean frugivory and its lasting impact on South American ecosystems.

Most megaherbivores in the Americas went extinct around 10,000 years ago, presumably disrupting the ...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

Systematic Evidence Map for the Per- and Polyfluoroalkyl Substances (PFAS) Universe.

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are a research priority for the U.S. Environm...

Integrative machine learning reveals the biological function and prognostic significance of α-ketoglutarate in gastric cancer.

Gastric cancer (GC) has a poor response to treatment, an unfavorable prognosis and a lack of reliabl...

Synthesizing Research in Sport and Exercise: Transitioning to Real-World Data and Data Science.

The American Society of Biomechanics (ASB) Jim Hay Memorial Award recognizes individuals for their o...

Screening of bioactive compounds and deep learning-driven quality control of Angong Niuhuang pills.

ETHNOPHARMACOLOGICAL RELEVANCE: Angong Niuhuang Pills (AGNHP), a famous Chinese medicine compound pr...

Evaluating the relationship between environmental chemicals and obesity: Evidence from a machine learning perspective.

Environmental chemicals are increasingly recognized as important contributors to obesity, yet the nu...

Epistasis regulates genetic control of cardiac hypertrophy.

Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remai...

Natural and anthropogenic influences on short-term forest growth status: Evidence and mechanisms from China.

The relationship between forest growth and natural-anthropogenic drivers remains controversial, and ...

Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms.

Prenatal healthcare development requires accurate automated techniques for fetal ultrasound image se...

Mulberry leaf disease detection by CNN-ViT with XAI integration.

Mulberry leaf disease detection is vital for maintaining the health and productivity of mulberry cro...

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning.

BACKGROUND: Fatigue is a prevalent and debilitating symptom of non-communicable diseases (NCDs); how...