Rheumatology

Machine Learning-Driven QSAR Modeling of Anti-Cancer Activity from a Rationally Designed Synthetic Flavone Library.

Flavones, recognized as "privileged scaffolds" in drug discovery, hold significant promise as anti-c...

A machine learning model for predicting anatomical response to Anti-VEGF therapy in diabetic macular edema.

PURPOSE: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in ...

Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy.

: Serum diagnostic tests for alopecia areata may be used to monitor response to treatment, aiding in...

Spatial discovery of pyrotinib overcoming HER2-positive breast cancer resistance by breaking fibroblast-induced immune barriers.

BACKGROUND: The TCbHP regimen, consisting of combining docetaxel (T), carboplatin (Cb), trastuzumab ...

Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in ...

Multifunctional Hydrogen-Bonded Organic Frameworks for Intelligent Anti-Counterfeiting and Food Safety Monitoring.

In an era of increasing digital threats and product counterfeiting, this study introduces MA-IPA@NPA...

Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights.

Recent advances in deep learning and machine learning have greatly increased the capabilities of ext...

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immuno...

Neurostimulation for the Management of Epilepsy: Advances in Targeted Therapy.

BACKGROUND: Epilepsy is a multifaceted neurological disorder marked by seizures that can present wit...

ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of Lifespan-Extending Compounds.

Despite the growing interest in developing anti-aging drugs, high costs and low success rates of tra...

Extrachromosomal circular DNA drives dynamic genome plasticity: emerging roles in disease progression and clinical potential.

Extrachromosomal circular DNA (eccDNA) has emerged as a dynamic and versatile genomic element with k...

Artificial intelligence-driven categorization of rheumatological disease subgroups.

Construction of a predictive model for relapse of primary autoimmune hemolytic anemia: a retrospective cohort study.

OBJECTIVES: To develop a machine learning-based model to predict the relapse risk of Primary Autoimm...

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 1. Development of the COMI, interpretation of scores, and use in research.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 2. COMI item-content, scoring, language versions, and applications.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...

Development and validation of a multiple myeloma diagnostic model based on systemic lupus erythematosus-associated genes and identification of specific genes.

BACKGROUND: Monoclonal immunoglobulins are commonly found in multiple myeloma (MM), a prevalent hema...

Brain metabolic imaging-based model identifies cognitive stability in prodromal Alzheimer's disease.

The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...

Performance of the Large Language Models in African rheumatology: a diagnostic test accuracy study of ChatGPT-4, Gemini, Copilot, and Claude artificial intelligence.

BACKGROUND: Artificial intelligence (AI) tools, particularly Large Language Models (LLMs), are revol...

Aberrant formation of the neutrophil extracellular trap and the expression of the PLEKHA1 in systemic lupus erythematosus and ulcerative colitis.

Systemic lupus erythematosus (SLE) and ulcerative colitis (UC) are both chronic autoimmune diseases ...

Surfactant-Enhanced Anti-Swelling Hydrogel Flexible Sensor for Machine Learning-Assisted Underwater Gesture Recognition.

Hydrogels hold great promise as flexible sensors. However, the development of hydrogel sensors with ...

Fluid fluctuations assessed with artificial intelligence during the maintenance phase impact anti-vascular endothelial growth factor visual outcomes in a multicentre, routine clinical care national age-related macular degeneration database.

AIM: To evaluate the impact of fluid volume fluctuations quantified with artificial intelligence in ...