Arthritis

CT-based subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma: an exploratory study of biological mechanisms.

OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathological T stage of clear cell renal cell carcinoma (ccRCC), and investigate the biological mechanisms of radiomics. MATERIALS AND METHODS: This retrospective study included 323 ccRCC patients from two centers, divided into training (n = 148), internal test (n = 38), and external validation (n = 137) sets...

Neural network surrogates for musculoskeletal models: An application to implant alignment in total knee arthroplasty.

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee osteoarthritis (OA). However, dissatisfaction persists in one in five patients. Musculoskeletal model-based approaches have the potential to predict implant alignment that restores pre-diseased knee functioning and improves patient satisfaction, but their computational complexity limits clinical application. This study aime...

Robotic-assisted versus conventional total knee arthroplasty for treating osteoarthritis.

This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the benefits and harms of robotic-assisted versus co...

Association of wearable-sensor derived gait measures with cartilage damage over 2 years in the Multicenter Osteoarthritis Study.

PURPOSE: Gait affects knee loading. Modifying gait could reduce load and protect against cartilage loss. Our objective is to look for modifiable gait ...

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. ...

Can Artificial Intelligence Align with Evidence? Performance of ChatGPT-4o in Knee Osteoarthritis Surgical Guidelines.

Artificial intelligence large language models (LLMs) such as ChatGPT are increasingly used in clinical settings, yet their reliability in reproducing ...

Integrative multi-omics analysis reveals CXCL10-driven inflammation and TREM2 + macrophage-plasma cell survival niche as hallmarks of late-stage rheumatoid arthritis.

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Primary care electronic medical records (EMRs) contain rich data that can support proactive identification of chronic health conditions. However, leve...

Radiomics-based nomogram using digital radiography for early diagnosis of knee osteoarthritis.

OBJECTIVES: Early diagnosis of knee osteoarthritis (KOA) remains challenging, particularly in distinguishing between Kellgren-Lawrence (KL) grades 1 a...

Predicting total knee replacement in knee osteoarthritis using a machine learning-guided approach in patients of the Osteoarthritis Initiative (OAI).

OBJECTIVE: To develop a pragmatic model to predict total knee replacement (TKR) in knee osteoarthritis using non-imaging clinical, genetic and lifesty...

Machine Learning Model Development and Validation in Individuals With Suggestive Hypersensitivity to Nonsteroidal Anti-inflammatory Drugs.

BACKGROUND AND OBJECTIVES: Nonsteroidal anti-inflammatory drugs (NSAIDs) are the main triggers of drug hypersensitivity reactions (HSRs). NSAID-induce...

AI in Healthcare: How Relevant to Medical Risk Selection?

The role of artificial intelligence (AI) in biologic discovery, and in the practice of medicine is rapidly increasing. AI-assisted analyses of large d...

TFAP2A transcriptionally regulates B3GALT2 to affect gouty arthritis progression through pyroptosis: a study based on machine learning and multi-omics integration analysis.

BACKGROUND: Gouty arthritis (GA) is an inflammatory joint disease driven by monosodium urate (MSU) crystal deposition. The NOD-like receptor thermal p...

NRAS and SREBF1 identified as mitophagy-associated risk genes for rheumatoid arthritis through interpretable machine learning and experimental validation studies.

Update on Non-Biological and RNA-Based Therapeutics in Chronic Inflammatory Diseases: Precision Medicine Through Small Molecules.

In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic infla...

An improved activation function for the recognition of knee osteoarthritis severity.

BACKGROUND: Existing knee osteoarthritis (KOA) severity classification methods typically rely on a combination of object detection algorithms and clas...

Xanthine oxidase inhibitors for gout: Applications and novel drug development.

Hyperuricemia is a well-established direct trigger of gouty arthritis. Xanthine oxidase (XO), the rate-limiting enzyme in uric acid production, repres...

The Evolving Role of Musculoskeletal Ultrasound in Gout: From Diagnosis to Management-A Narrative Review.

Gout, a prevalent and treatable form of crystal-induced arthritis, results from monosodium urate (MSU) crystal deposition in articular and periarticul...

Non-coding RNAs as prognostic biomarkers in autoimmune disease.

Autoimmune diseases comprise a broad spectrum of disorders in which both the innate and adaptive branches of the immune system malfunction, mistakenly...

Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence.

BACKGROUND: Vedolizumab, a monoclonal antibody targeting the α4β7 integrin, offers gut-selective immunosuppression and represents a cornerstone biolog...