Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
The global escalation of antimicrobial resistance in Staphylococcus aureus (S. aureus) necessitates rapid analytical tools to reliably distinguish between methicillin-susceptible (MSSA) and methicillin-resistant (MRSA). In this study, the surface-enhanced Raman spectroscopy (SERS) was utilized to antibiotic induced biochemical response in MSSA and MRSA cell pellets following exposure to oxacillin ...
Balancing thromboembolic prevention against bleeding risk remains a key challenge during oral anticoagulant (OAC) therapy. CHA₂DS₂-VASc cannot predict residual thromboembolic risk, and HAS-BLED has insufficient predictive ability for direct oral anticoagulants (DOACs).While machine learning offers a transformative paradigm for risk assessment, its clinical application is often hindered by three cr...
OBJECTIVES: Predictive models are increasingly used to support the clinical management of dengue, but their performance varies widely across settings....
Learning-based image classification has become central to modern medical imaging, but the field is changing rapidly: foundation models, vision-languag...
Proteins play essential roles in diverse biological processes, and accurate function annotation is fundamental for understanding cellular mechanisms a...
BACKGROUND: In laparoscopic distal gastrectomy (LDG), intraoperative bleeding directly reflects surgical proficiency, including tissue handling and he...
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is a common procedure for treating biliary and pancreatic disorders; however, it is ...
Emicizumab is an established prophylactic therapy for haemophilia A (HA). However, real-world multicentre evidence on long-term outcomes, particularly...
Protein-protein interactions (PPIs) are fundamental to nearly all biological processes, yet their experimental characterization remains costly and tim...
Protein-protein interactions (PPIs) are fundamental to cellular processes, and essential for understanding biological function and disease mechanisms....
BACKGROUND: Osteoarthritis (OA) is a heterogeneous whole-joint disease and a leading cause of pain and disability worldwide. Synovial inflammation pla...
PURPOSE: Endoscopy is critical in the identification of rectal tumors, but is prone to observer errors. The aim of this study was to assess the inter-...
BACKGROUND: Endometriosis is a chronic gynecological disease characterized by the growth of endometrial-like tissue outside the uterus, leading to pel...
Pharmacogenomics (PGx) is transforming how we treat cardiovascular disease (CVD) by enabling us to select and dose drugs based on our genetic profiles...
BACKGROUND: Intraoperative bleeding is a critical event that impacts surgical safety and patient outcomes. Machine learning (ML) has demonstrated pote...
Ampullary neoplasms are often challenging to detect during forward-viewing esophagogastroduodenoscopy. This study aimed to evaluate the impact of arti...
Accurate diagnosis of eardrum abnormalities is pivotal for effectively managing various ear conditions. Otoscopy, a non-invasive diagnostic procedure,...
Preeclampsia (PE) is a pregnancy complication involving immune dysregulation. This study aims to identify diagnostic immune biomarkers for PE using ma...
BACKGROUND: Ochratoxin A (OTA), a common foodborne mycotoxin, is classified as a potential human carcinogen. However, the specific molecular mechanism...