Latest AI and machine learning research in alternative medicine for healthcare professionals.
Tumor vasculature has traditionally been viewed as structurally and functionally abnormal and, therefore, is primarily targeted for inhibition. However, emerging evidence from vascular biology, regenerative medicine, and bioengineering challenges this paradigm, demonstrating that blood vessels actively instruct and shape the tumor microenvironment. Here, we propose that tumor vasculature functions...
Brain tumors are a leading cause of cancer-related mortality, and manual MRI screening remains time-consuming and observer-dependent. Deep learning (DL) offers automated detection, but clinical translation requires rigorous validation and interpretability. This study introduces a DL framework for brain tumor detection that addresses two major challenges in medical AI: limited dataset availability ...
BACKGROUND: Atopic dermatitis (AD) is a prevalent inflammatory skin disease and a major source of disease burden in children. Biomarker studies in chi...
BACKGROUND: Knowledge Translation (KT) research investigates methods to promote the uptake of research by practitioners, managers and policy-makers. R...
Full-arch implant rehabilitation faces core challenges: insufficient impression accuracy, difficulty in precise jaw relation transfer, deviations betw...
BACKGROUND: Chronic post-operative inguinal pain (CPIP) is a significant complication following inguinal hernia repair. Evidence on the surgical facto...
PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...
Artificial intelligence (AI) strategies are revolutionizing genomics by extracting complex patterns that traditional statistical pipelines are likely ...
The global burden of acute and chronic wounds continues to demand improved classification methods, a critical step in guiding appropriate treatment pl...
Kidney fibrosis, characterized by excessive extracellular matrix deposition and progressive renal tissue remodeling, frequently culminates in End-stag...
Integrating vision-language models (VLMs) into clinical radiology workflows requires exporting two-dimensional images that preserve diagnostic viewing...
Despite the advent of automated diabetic retinopathy (DR) severity grading from retinal fundus images, it remains challenging because of class imbalan...
BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, continuous and equitable care. Artificial intelligence ...
Parkinson's disease (PD) is a progressive neurodegenerative disorder with significant variability associated with substantial loss of dopaminergic neu...
Interstitial lung diseases (ILDs) require early recognition and longitudinal assessment, yet repeated high-resolution computed tomography (HRCT) is of...
Deoxynivalenol (DON) has been reported to exhibit skin toxicity and carcinogenic potential; however, its effects on melanoma remain unclear. We integr...
Bioactive compounds derived from natural products (NPs) continue to attract considerable scientific interest due to their wide range of beneficial bio...
Cereal root systems perceive the onset of drought and heavy metal toxicity, which rapidly triggers signal transduction and extensive transcriptional r...
Older adults represent most patients with cancer worldwide, yet they remain substantially underrepresented in randomized clinical trials (RCTs), limit...
Deep learning (DL) image analysis of prostate MRI can be integrated into the prostate cancer diagnostic pathway to improve biopsy decision making, red...