Rheumatology

Using an artificial intelligence tool incorporating natural language processing to identify patients with a diagnosis of ANCA-associated vasculitis in electronic health records.

BACKGROUND: Because anti-neutrophil cytoplasmatic antibody (ANCA)-associated vasculitis (AAV) is a r...

Predicting Visual Acuity Responses to Anti-VEGF Treatment in the Comparison of Age-related Macular Degeneration Treatments Trials Using Machine Learning.

PURPOSE: To evaluate multiple machine learning (ML) models for predicting 2-year visual acuity (VA) ...

Enhanced Antibacterial Efficiency and Anti-Hygroscopicity of Gum Arabic-ε-Polylysine Electrostatic Complexes: Effects of Thermal Induction.

The aim of this investigation was to scrutinize the effects of a thermal treatment on the electrosta...

Predicting Psoriatic Arthritis in Psoriasis Patients - A Swiss Registry Study.

BACKGROUND: Psoriatic arthritis (PsA) is a prevalent comorbidity among patients with psoriasis, heav...

Applications of artificial intelligence in musculoskeletal ultrasound: narrative review.

Ultrasonography (US) has become a valuable imaging tool for the examination of the musculoskeletal s...

Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.

RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate a radiomics-based model combined ...

Prediction of histone deacetylase inhibition by triazole compounds based on artificial intelligence.

A quantitative structure-activity relationship (QSAR) study was conducted to predict the anti-colon ...

DG-Affinity: predicting antigen-antibody affinity with language models from sequences.

BACKGROUND: Antibody-mediated immune responses play a crucial role in the immune defense of human bo...

An algorithm for drug discovery based on deep learning with an example of developing a drug for the treatment of lung cancer.

In this study, we present an algorithmic framework integrated within the created software platform t...

Safety and Effectiveness of an Anti-Xa-based Unfractionated Heparin Protocol for Impella Percutaneous Ventricular Assist Devices.

Impella devices are used for mechanical circulatory support in patients with cardiogenic shock or t...

Advancing AI in rheumatology: critical reflections and proposals for future research using large language models.

Active compounds from flowers act via PI3K and ERK signaling pathways to offer neuroprotective effects against Parkinson's disease.

flowers, associated with diverse biological effects, could be utilized as functional food ingredien...

CURATE.AI-assisted dose titration for anti-hypertensive personalized therapy: study protocol for a multi-arm, randomized, pilot feasibility trial using CURATE.AI (CURATE.AI ADAPT trial).

AIMS: Artificial intelligence-driven small data platforms such as CURATE.AI hold potential for perso...

Soft Robotics to Enhance Upper Limb Endurance in Individuals with Multiple Sclerosis.

Multiple sclerosis (MS) is a chronic autoimmune disorder that affects the central nervous system and...

A fixed dose approach to thrombosis chemoprophylaxis may be inadequate in heavier critically ill patients.

Overweight patients are at greater risk of venous thromboembolism. We aimed to describe prescribing...

The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.

PURPOSE: Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelera...

Artificial intelligence to analyze magnetic resonance imaging in rheumatology.

Rheumatic disorders present a global health challenge, marked by inflammation and damage to joints, ...

Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning.

ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese medicine (TCM) meridian is the key theoretical g...

Large language models and rheumatology: a comparative evaluation.

Push forward LC-MS-based therapeutic drug monitoring and pharmacometabolomics for anti-tuberculosis precision dosing and comprehensive clinical management.

The spread of tuberculosis (TB), especially multidrug-resistant TB and extensively drug-resistant TB...

Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer.

Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, ...