Rheumatology

Ultrasonic-assisted extraction, purification, identification, and bioactivity evaluation of phlorotannins from Sargassum fusiforme: A comparative study of RSM and SVM-GA.

Sargassum fusiforme is a medicinal and edible species present in China, Korea, and Japan, and its phlorotannins are considered valuable bioactive components. Response surface methodology (RSM) and a support vector machine integrated with a genetic algorithm (SVM-GA) were used in this study to optimize ultrasonic-assisted extraction (UAE) of S. fusiforme phlorotannins (SFP), to compare its efficien...

Self-organizing neural network-based generative AI with embedded error inflation control enhances effective knowledge extraction from preclinical studies with reduced sample size.

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing maps. genESOM is designed to augment small biomedical datasets while controlling α‑error inflation. It separates structure learning from data synthesis and integrates error propagat...

Infrared thermography in the detection of arthritis: a systematic review of diagnostic performance compared with joint ultrasound.

Early detection of arthritis in autoimmune rheumatic diseases (ARDs) is critical to prevent irreversible damage. Joint ultrasound (US) offers high sen...

DeepStackVEGF a stacking ensemble deep learning framework for vascular endothelial growth factor prediction.

Vascular Endothelial Growth Factor (VEGF) plays a central role in angiogenesis, regulating both physiological processes such as wound healing, tissue ...

Polysaccharide-driven quality control of Gastrodia elata Blume: A multidimensional strategy integrating LC-MS/MS-based quantitative analysis, machine learning, and anti-neuroinflammatory bioactivity.

Gastrodia elata Blume (GE), a highly regarded traditional Chinese medicinal herb, is widely recognized for its diverse pharmacological activities. Cur...

Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.

BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a higher risk of falling because of joint pain, poor mu...

Use of synthetic data, a novel paradigm for immunopathology.

The complexity and heterogeneity of autoimmune diseases are only partially captured by current analytic tools, even when deep learning techniques are ...

Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling.

Optimizing the prediction of anti-colorectal cancer agent activity is essential aspect in the identification and creation of medications. Machine lear...

[Plasma proteomics in age-related macular degeneration].

BACKGROUND: Neovascular age-related macular degeneration (nAMD) shows a heterogeneous treatment response to anti-vascular endothelial growth factor (V...

Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.

BACKGROUND: Multimorbidity has become a major global public health challenge. However, existing research primarily emphasizes the identification of di...

Precision immunotherapies for systemic lupus erythematosus: From pathogenic targets to translational horizons.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder in which aberrant B-cell activation, persistent autoantibody production, and...

Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata.

BACKGROUND: Alopecia areata (AA) is an autoimmune disease affecting hair follicles that results in nonscarring hair loss. AA impacts 0.1%-0.2% of the ...

Network toxicology integrated with machine learning and SHAP analysis identifies overlapping immune signatures between Di(2-ethylhexyl) phthalate (DEHP) and Sjögren's syndrome.

Pharmacokinetic modeling to optimize development and therapeutic potential of mAb-based therapies.

Monoclonal antibody (mAb)-based therapies have revolutionized modern medicine, offering highly specific and effective treatments for a wide range of d...

Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseases.

Development of a Classifier for Metabolic Subtypes of Nasopharyngeal Carcinoma to Guide Personalized Immunotherapy Strategies: Biomarker Analysis of the Phase III CONTINUUM and DIPPER Trials.

PURPOSE: Personalized immunotherapy strategies are urgently needed for patients with locoregionally advanced nasopharyngeal carcinoma (NPC). We aim to...

Predicting VRE Infection After Liver Transplantation With a Time-Updated Colonization Score.

BACKGROUND: Vancomycin-resistant Enterococcus (VRE) infection is a life-threatening complication after liver transplantation (LT). This study aimed to...

Do ChatGPT and Gemini provide accurate answers to patient questions about glenohumeral arthritis?

BACKGROUND: Machine learning, a subset of artificial intelligence, enables large language models (LLMs) like ChatGPT and Gemini to analyze data, learn...

An algorithm for automated femoral leg length and offset calculations on pelvis radiographs.

INTRODUCTION: Manual measurement of leg length (LL) and offset can be tedious. This study developed an automated algorithm for measuring LL and offset...

Development and validation of case-finding algorithms for identifying patients with systemic lupus erythematosus in an administrative claim database from tertiary care centers in Japan.

OBJECTIVE: To develop and validate algorithms for identifying patients with systemic lupus erythematosus (SLE) in Japanese administrative claims datab...