Alternative Medicine

How human-perceived urban green spaces contribute to mental well-being: a machine learning approach.

Global urbanization has heightened attention to urban green spaces (UGS) and their role in supporting mental well-being (MWB). While macro-scale landscape ecology has guided the quantity and morphology of UGS, a human-perception perspective is still needed to clarify how micro-scale features affect MWB and to support higher-quality, fine-grained UGS construction. To address unresolved questions ab...

Boosting angiogenesis experimentally in ovo by biofunctionalizing collagen membranes with platelet-rich fibrin and hyaluronic acid: implications for regenerative oral surgery?

PURPOSE: Biocompatible collagen membranes (CM) are widely used in regenerative dentistry, particularly in guided tissue regeneration (GTR) and guided bone regeneration (GBR). While resorbable CMs offer advantages such as reduced patient morbidity and enhanced wound healing, their barrier function can impede vascularization, potentially compromising graft survival. Biofunctionalization of CMs with ...

Personalized Learning With Artificial Intelligence in Dental Education: An Integrative Review.

BACKGROUND: Dental education is at the pinnacle of innovation and evolution. Advancements in artificial intelligence (AI) have reinforced personalized...

Integrative Bioinformatics and Machine Learning Identify Novel Diagnostic Biomarkers and Molecular Mechanisms in Sjögren's Syndrome.

BACKGROUND: Sjögren's syndrome (SS) is a chronic autoimmune disorder characterized by significant diagnostic challenges due to nonspecific symptoms an...

MAGED: Multimodal attentive graph learning with gene expression dynamics on knowledge graphs for TCM target prediction.

ETHNOPHARMACOLOGICAL RELEVANCE: Plants used in traditional medicine have long provided valuable clues for drug discovery, yet systematically connectin...

Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentation.

Prompt detection of colorectal polyps is essential for preventing colorectal cancer, a leading cause of cancer-related deaths worldwide. However, manu...

Application of deep learning on MRI for prognostic prediction in rectal cancer.

OBJECTIVES: Pretreatment MRI was employed to develop and validate a combined model integrating clinical features with deep learning for rectal cancer....

Deep learning in enhanced CT imaging: predicting invasion depth of rectal adenocarcinoma.

PURPOSE: This study aims to develop and evaluate a deep learning model, RectoDepthAI, that leverages enhanced CT images to accurately assess the tumor...

C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic modeling enables reliable risk stratification to identi...

MLGO: Multi-Layer graph neural ODEs for traffic forecasting.

Spatial-temporal graph neural networks have become increasingly prominent in traffic forecasting, driven by the inherently graph-structured nature of ...

Mechanistic evidence for dibutyl phthalate as an environmental trigger for inflammatory bowel disease.

Dibutyl phthalate (DBP) is a ubiquitous pollutant, but its molecular link to inflammatory bowel disease (IBD) is undefined. We employed an integrative...

Integrating multi-omics and artificial intelligence fuels advanced target identification and drug discovery.

Target identification is pivotal for developing novel therapeutics in cancer and other diseases. Traditional experiment screening methods are constrai...

CSA-Kansformer : Cross-scale aggregation and Kansformer network for hyperspectral image classification.

Hyperspectral image (HSI) classification is essential in remote sensing, leveraging rich spectral and spatial information. Convolutional neural networ...

Evaluating the efficacy of the ResNet50 deep learning model utilizing thyroid scintigraphy images for predicting the outcomes of initial iodine-131 therapy in patients with Graves' disease.

BACKGROUND: Graves' disease (GD), a leading cause of hyperthyroidism, exhibits heterogeneous responses to iodine-131 therapy, underscoring the need fo...

BRAIN-META: A reproducible CNN-vision transformer meta-ensemble pipeline for explainable brain tumor classification.

This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class brain tumor classification using structural MRI. The...

Mitochondrial energy metabolism-associated Predictive model constriction for coronary artery disease(CAD) of acute myocardial infarction(AMI) patients via integrative bioinformatic analysis.

Coronary artery disease (CAD) is a leading cause of acute myocardial infarction (AMI), a condition characterized by the sudden blockage of blood flow ...

A multi-branch ConvNeXt-MaxViT fusion transformer model for radiographic knee osteoarthritis severity assessment with Grad-CAM++ explainability.

CONTEXT: Knee Osteoarthritis (KOA) is a progressive degenerative joint disorder and a major cause of disability worldwide. Radiographic grading using ...

Diagnostic modalities in pediatric obstructive sleep apnea: A review article.

BACKGROUND: Pediatric obstructive sleep apnea (OSA) affects ∼3 % of children and causes adverse neurocognitive, behavioral, and cardiovascular outcome...

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...

Current applications of artificial intelligence in assisted reproductive technologies.

INTRODUCTION: Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, optimizing treatment plans, and improving patient o...