GERD

IN-HUMAN FEASIBILITY AND SAFETY OF SUBRETINAL DRUG INJECTION THROUGH ATTACHED RETINA USING A ROBOTIC COMANIPULATION SYSTEM.

PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached retina using the comanipulated Mynutia system in patients with submacular hemorrhage. METHODS: This prospective, single-center case series included 20 eyes undergoing vitrectomy with subretinal recombinant tissue plasminogen activator between June 2024 and August 2025. The EVA Inicio microinjection...

[Dynamic assessment of upper airway in obstructive sleep apnea patients with a focus on drug-induced sleep endoscopy].

The key pathophysiological feature of obstructive sleep apnea（OSA） is dynamic collapse of the upper airway during sleep. Polysomnography（PSG） and awake imaging can assess disease severity and anatomical structure, but they are unable to characterize the dynamic process of airway collapse during sleep. Drug-induced sleep endoscopy（DISE） enables direct visualization of the sites and patterns of obst...

Co-research in the development of AI and digital health tools for cancer management and care: a systematic review.

BACKGROUND: Participatory approaches (including co-research, co-design, Patient and Public Involvement [PPI], and Participatory Action Research [PAR])...

Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.

Ageing-related diseases (ARDs) display diverse phenotypes yet share an age-dependent rise in incidence, suggesting mechanistic links with ageing proce...

A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathy.

BACKGROUND: Hypoglossal neuropathy is the most common lower cranial neuropathy detected as a delayed sequelae of Human Papillomavirus (HPV) -driven or...

Artificial Intelligence-Based Analysis of Right Ventricular Work Is Associated with Outcomes after Transcatheter Tricuspid Valve Intervention.

AIMS: In tricuspid regurgitation (TR), conventional parameters of right ventricular (RV) function have limited prognostic utility. Our aim was to eval...

Deep learning-based automatic scoring of drug-induced sleep endoscopy in obstructive sleep apnea.

Polysomnography is the standard tool for assessing obstructive sleep apnea (OSA) severity; however, it does not provide information regarding the anat...

Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models.

Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are tr...

A novel system design for monocular laser assisted capsule endoscopy for 3D small bowel modeling.

The long, tortuous, and tissue-homogeneous structure of the small bowel makes image-based three-dimensional (3D) modeling studies technically complex....

Harnessing Artificial Intelligence for the Management of Patients With GI Cancers.

Artificial intelligence (AI) has the potential of reshaping GI oncology by enabling more nuanced interpretation of complex clinical, imaging, and mole...

The needle study: Machine learning as a new method for case-finding in celiac disease.

OBJECTIVES: Despite a well-defined diagnostic work-up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general popula...

Standardized scoring systems-essential for the AI Era in small-bowel capsule endoscopy.

A multimodal fusion network for heart sound abnormality detection and classification.

OBJECTIVE: Accurate physiological assessment of cardiac function from heart sounds remains challenging due to background noise, variable heart rat...

Biomarkers of mitochondrial dynamics in idiopathic pulmonary fibrosis: Identification and validation through transcriptomic and single-cell analyses.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease that has increasingly been associated with dysregulated mitocho...

Accuracy of machine learning models for mitral regurgitation severity assessment: A systematic review and meta-analysis.

BACKGROUND: Accurate assessment of mitral regurgitation (MR) severity is crucial for guiding clinical management, but is often limited by the subjecti...

Macrocyclic peptides as protein-protein interaction modulators: a review.

Protein-protein interactions (PPIs) govern essential cellular processes, such as signal transduction, enzymatic catalysis, and the formation of macrom...

Methods for Mapping and Analyzing Context-Specific Protein-Protein Interaction Networks.

Protein-protein interactions (PPIs) form highly dynamic and context-specific networks that vary across cell types and perturbation states. Mapping and...

High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach.

Gastrointestinal abnormalities are widespread worldwide and pose a significant health challenge. However, their mortality rate can be significantly re...

MechMemDyn: Coupling Frustration Analysis with Membrane Dynamics to Target the TREM2-DAP12 Complex Interface.

The transmembrane complex formed by TREM2 (Triggering Receptor Expressed on Myeloid cells 2) and DAP12 (DNAX-activating protein of 12 kDa) constitutes...

[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].

Gastric cancer constitutes a significant global health burden, and its clinical management is undergoing a critical transition from a traditional expe...