Rheumatology

Latest AI and machine learning research in rheumatology for healthcare professionals.

4,198 articles
Stay Ahead - Weekly Rheumatology research updates
Subscribe
Browse Specialties
Showing 127-147 of 4,198 articles
Artificial intelligence in autoimmune diseases: a bibliometric exploration of the past two decades.

OBJECTIVE: Autoimmune diseases have long been recognized for their intricate nature and elusive mech...

Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema.

This study aimed to identify distinct clusters of diabetic macular edema (DME) patients with differe...

Applying AI to Canada's Financial Intelligence System: Promises and Perils in Combatting Money Laundering and Terrorism Financing.

Money laundering (ML) and terrorist financing (TF) are pernicious global challenges. Estimates sugge...

Efficient and anti-interference plastic classification method suitable for one-shot learning based on laser induced breakdown spectroscopy.

Efficient recycling of plastics is critical for environmental sustainability. In this work, an effic...

Comparison of artificial intelligence applications and commercial system performances using selected ANA IIF images.

Accurate and accessible classification of anti-nuclear antibodies (ANA) through indirect immunofluor...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...

Engineering TCR-controlled fuzzy logic into CAR T cells enhances therapeutic specificity.

Chimeric antigen receptor (CAR) T cell immunotherapy represents a breakthrough in the treatment of h...

Traditional Chinese medicine as a promising choice for future control of PEDV.

Porcine epidemic diarrhea virus (PEDV) is the major agent of the recent outbreaks of diarrhea in pig...

Micro- and Nano-Bots for Infection Control.

Medical micro- and nano-bots (MMBs and MNBs) have attracted a lot of attention owing to their precis...

MXene-enabled organic synaptic fiber for ultralow-power and biochemical-mediated neuromorphic transistor.

Fibrous bioelectronic provides an intrinsically accessible platform for artificial nerve and real-ti...

Optical Synaptic Devices with Multiple Encryption Features Based on SERS-Revealed Charge-Transfer Mechanism.

2D optical synaptic devices with atomic-scale thickness show potential for building highly integrate...

Application of machine learning in assessing disease activity in SLE.

OBJECTIVE: SLE is a chronic autoimmune disease with immune complex deposition in various organs, cau...

Unique and shared transcriptomic signatures underlying localized scleroderma pathogenesis identified using interpretable machine learning.

Using transcriptomic profiling at single-cell resolution, we investigated cell-intrinsic and cell-ex...

MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.

Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provid...

Can artificial ıntelligence detect the anti-aging effect of rhinoplasty?

BACKGROUND: The quest for eternal youth has been a common theme in many cultures for centuries. Whil...

What is the doggest dog? Examination of typicality perception in ImageNet-trained networks.

Due to the emergence of numerous model architectures in recent years, researchers finally have acces...

Personalized glucose forecasting for people with type 1 diabetes using large language models.

BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous ins...

Browse Specialties