Rheumatology

Artificial intelligence-enabled flexible surface-enhanced Raman scattering substrate based on silver nanoparticles/polypyrrole/chitosan film for sensitive uric acid detection in saliva, serum and urine.

Selective detection of uric acid (UA), a key biomarker associated with cardiovascular diseases, gout and preeclampsia, is important for preventive healthcare and accurate diagnosis. Conventional analytical methods often suffer from low sensitivity, rely on complex and expensive instrumentation. Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for non-invasive and highly se...

Long term evolutions of hard exudates after anti-VEGF therapy for diabetic macular oedema.

PURPOSE: To evaluate longitudinal change in hard exudate (HEs) volume over 5-years following anti-VEGF treatment for diabetic macular oedema (DMO). METHODS: This study was a post-hoc analysis of structural optical coherence tomography (OCT) volume scans collected in the Diabetic Retinopathy Clinical Research Network Protocol T extension trial. A deep learning model was used to segment HEs and comp...

The Synergism of β-Cyclodextrin and Fe3+ Enabled Anti-Swelling Ion-Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms.

As the key sensing component of flexible sensors, conductive hydrogels are prone to mechanical property degradation and signal deterioration owing to ...

Computational modeling-assisted discovery of the structural effects of phenylpropanoid derivatives on intracellular anti-Trypanosoma cruzi activity.

Previous investigations have demonstrated that n-hexacosyl p-coumarate, a natural product isolated from the Brazilian plant Baccharis sphenophylla, ex...

Advanced neuroimaging for central nervous system infections: when, where, how, and why?

PURPOSE OF REVIEW: Central nervous system (CNS) infections remain a major cause of morbidity and mortality worldwide, particularly in children, older ...

Agentic AI in rheumatology.

Large language models have generated intense interest in clinical artificial intelligence (AI), yet their evolution from passive chatbots into agentic...

Multi-dimensional CT feature screening, construction, and validation of a clinical diagnostic model for thyroid eye disease.

OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction, often presenting with complex and variable orbita...

Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies.

The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it remains unknown whether and to what degree rejuven...

Large language models enhance diagnostic reasoning of medical students in rheumatology: a randomized controlled trial.

Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation.

Composite resource allocation problems with general constraints are studied in this article, which frequently arise in networked systems such as smart...

AI-generated Feedback Following Social Robotic Virtual Patient Interactions and Medical Student Performance: Nonrandomized Quasi-Experimental Study.

BACKGROUND: Virtual patients (VPs) demonstrate effectiveness in improving clinical reasoning skills; however, traditional VP platforms often lack indi...

Identification of Novel Non-coding Genetic Variants of Serum Urate Using Whole Genome Sequencing in 7,339 Chinese.

OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate (SU) in East Asian populations, aiming to clarify...

Artificial Intelligence in hepatology: A position paper by the Italian Association for the Study of the Liver.

Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enhance diagnosis, prognosis, and treatment across all...

Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even in the absence of vertebral fractures, suggesting t...

A decoction-inspired genetic algorithm and PPO reinforcement learning for intelligent molecular discovery: Anti-colorectal cancer candidates from the tiao-pi AnChang formula.

BACKGROUND: Colorectal cancer (CRC) remains among the leading causes of cancer-related mortality worldwide. The TiaoPi AnChang Decoction (TPACD), a tr...

Exploring exosome-related genes as candidate biomarkers in primary immune thrombocytopenia through transcriptomics and preliminary experimental validation.

Primary Immune Thrombocytopenia (ITP) is an autoimmune disease characterized by thrombocytopenia and bleeding tendency. Exosomes mediate abnormal cros...

[Large language models in rheumatology : New ways of knowledge transfer].

Medical knowledge is growing exponentially in rheumatology, posing increasing challenges for knowledge dissemination among physicians, educators and p...

HealthData@MAD-R&I: Protocol for Design and Development of a Regional Health Data Infrastructure to Enable Secondary Use of Health Data in Research and Innovation.

BACKGROUND: The exponential growth of electronic health records (EHRs), together with the recent entry into force of the European Health Data Space (E...

AI-driven design of antimicrobial peptide for combating resistance and infectious diseases.

The growing threat of antimicrobial resistance, coupled with the challenges of developing new antibiotics, demands innovative therapeutic solutions. A...

Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications.

INTRODUCTION: Alopecia areata (AA) is an autoimmune disorder characterized by non-scarring hair loss due to immune dysregulation. Despite advances, it...