Alternative Medicine

UCGR: Closing the Discretization Gap in Light Field Depth Estimation via Unified Continuous Geometry Representation.

Light field(LF) cameras encode dense spatial-angular information for depth estimation, critical for applications such as 3D reconstruction, refocusing, and virtual reality. However, current deep learning methods for LF depth estimation still face significant challenges due to the discretization gap between the continuous geometry of real scenes and the discrete sampling of digital images, limiting...

Feasibility of predicting vertical cephalometric angles from panoramic radiographs using deep learning.

INTRODUCTION: Early identification of vertical skeletal discrepancies is essential for orthodontic diagnosis and treatment planning. Since panoramic radiographs (OPGs) are more routinely obtained than lateral cephalometric radiographs (LCR), this study evaluated whether artificial intelligence could predict vertical skeletal angles on OPGs. METHODS: LCRs and OPGs of 715 patients were retrospective...

Integrative transcriptomic and machine learning analysis identifies CDH17 and HOXC13 as robust candidate prognostic biomarkers in uveal melanoma.

BACKGROUND: Uveal melanoma (UM), the most common form of ocular melanoma, represents poor prognosis, with approximately 50% of patients developing met...

Integrative metabolomics and machine learning reveal the toxic mechanisms of elaidic acid in polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is characterized by reproductive dysfunction and metabolic disturbances, including obesity, insulin resis...

Integrative network toxicology and molecular docking preliminarily explore the potential role of polystyrene microplastics in childhood obesity.

Childhood obesity is a severe global epidemic, and emerging evidence suggests environmental pollutants like polystyrene microplastics (PS-MPs) may dis...

The rise of artificial intelligence in respiratory primary care and pulmonology: a scoping review.

Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to population lung health. This scoping review synthe...

Environmental PET-microplastic exposure and risk of non-alcoholic fatty liver disease: An integrated computational toxicology and multi-omics study.

The escalating severity of global microplastic pollution has triggered significant public health concerns. Polyethylene terephthalate (PET), a ubiquit...

Microbiota-host interaction in colorectal cancer: emerging computational technology, multi-omics integration, and mechanisms.

Colorectal cancer (CRC) remains a major global health burden with the gut microbiome emerging as a critical contributor to tumor initiation and progre...

Hierarchical Channeled Graphitized Nanoarchitecture as a Diagnostic Platform for Maternal Fever Warning.

The precision and effectiveness of nano-diagnostic platforms rely on the deliberate design of advanced nanomaterials, aiming to address the clinical c...

Sleep disturbances and Alzheimer's disease: a multiscale approach from exposome to neurobiology and precision medicine.

Sleep disturbances and Alzheimer's disease (AD) are interconnected public health challenges. However, the underlying mechanisms of their complex relat...

Artificial intelligence facilitated smile design for the rehabilitation of a fully maxillary edentulous patient with a complete arch implant-supported prosthesis: A dental technique.

This dental technique describes the use of an artificial intelligence (AI)-facilitated digital workflow in the rehabilitation of an edentulous maxilla...

Lactate metabolism-driven tumor heterogeneity and molecular signatures in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive liver malignancy with limited therapeutic options and poor prognosis. Recent ...

Deciphering the air pollution-osteoarthritis relationship: insights from network toxicology, integrated machine learning, and molecular docking.

Mounting evidence suggests an association between air pollution and the pathogenesis of osteoarthritis (OA), yet the underlying molecular mechanisms r...

From Clinic to Community: An Interpretable Artificial Intelligence Framework for Enamel Caries Detection to Support Public Health Dentistry.

Dental enamel caries is among the most prevalent oral diseases worldwide. Early detection is essential, as incipient lesions can be managed with nonin...

Artificial intelligence-enhanced microsurgical training: a systematic review.

Artificial intelligence (AI) offers objective, adaptive tools for skill enhancement in microsurgical training, but evidence is fragmented. This system...

The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review.

ObjectiveTo summarise the evidence for changes in physical activity outcomes during robot-assisted gait training in patients with spinal cord injury.D...

Integrative multi-platform gene expression and machine learning analysis for glioblastoma biomarker discovery with experimental validation.

BACKGROUND: Glioblastoma (GBM) is a highly aggressive form of brain tumor with poor prognosis. This study aimed to identify genes critical to glioma d...

Multi-modal machine learning and molecular modelling reveal structurally diverse inhibitors of Mycobacterium tuberculosis protein tyrosine phosphatase B.

Protein tyrosine phosphatase B (PtpB) is a virulence-associated phosphotyrosine phosphatase secreted by Mycobacterium tuberculosis (Mtb), known to dis...

Uncovering the potential mechanisms of aspartame-induced oral leukoplakia via integrated network toxicology and molecular dynamics simulations.

OBJECTIVE: Aspartame, a widely used artificial sweetener, has attracted increasing attention for its potential systemic and oral toxicity. However, th...

Opportunities and challenges in leveraging multiomics and biobanks for vision science.

PURPOSE OF REVIEW: Emerging biobank resources allow large-scale integration of eye-specific phenotypes with clinical, genomic, and multiomic data. Thi...