Arthritis

Markerless gait analysis for children and adolescents with juvenile idiopathic arthritis using a machine learning pipeline.

BACKGROUND: Musculoskeletal diseases, such as Juvenile Idiopathic Arthritis (JIA), can lead to altered joint mobility and changes in gait pattern. While marker-based motion capture systems are considered the gold standard, their use is limited by high costs, technical complexity, time-intensive procedures, and specialized staff requirements. This study proposes and evaluates the feasibility of a m...

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This study evaluates whether the Fleming method for tissue and vascular differentiation and metabolism (FMTVDM) can quantify inflammothrombotic immunologic response disease (ITIRD) as a unified biologic continuum across cardiovascular, oncologic, and infectio...

A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery.

Lipid nanoparticle (LNP) delivery of RNA therapeutics is constrained by poor tissue selectivity and off-target toxicity. Most high-throughput screenin...

Antimycobacterial Peptides: From Natural Product Discovery to AI Guided Design.

Mycobacterial pathogens remain major global health threats, exacerbated by both rapid acquisition of antibiotic resistance and the formidable drug dif...

Current and emerging therapies for knee osteoarthritis: From conventional approaches to machine learning and stem cell innovations.

Osteoarthritis is characterized by cartilage degradation and joint distortion. The most prevalent version of osteoarthritis, knee osteoarthritis (KOA)...

CD27 Neutralization Attenuates Rheumatoid Arthritis by Suppressing.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and destruction. Identifying novel therapeutic targets i...

Integrating network toxicology and experimental validation to elucidate the molecular mechanism basis of chondrotoxicity of Benzo[a]pyrene in osteoarthritis.

Benzo[a]pyrene (BaP), a widespread environmental pollutant, has been increasingly implicated in the pathogenesis of chronic degenerative diseases. Env...

Automated Objective Scoring of Osteoarthritis Severity in Mouse Medial Tibial Cartilage Using Deep Learning.

ObjectiveThis study developed and optimized a deep learning model to automate OARSI-based histologic scoring of mouse medial tibial cartilage.DesignSa...

Choline kinase beta promotes psoriasis pathogenesis by regulating sphingolipid metabolism and activating the PI3K/Akt/GSK3β signaling pathway.

Psoriasis is a chronic inflammatory skin disorder characterized by dysregulated lipid metabolism, yet the key molecular drivers remain unclear. This s...

Association of epigenetic trajectory with development of clinical rheumatoid arthritis in anti-citrullinated protein antibody positive individuals: Targeting Immune Responses for Prevention of Rheumatoid Arthritis (TIP-RA).

OBJECTIVE: The presence of anti-citrullinated protein antibodies (ACPAs) in the absence of clinical inflammatory arthritis (IA) identifies individuals...

Amyloidosis secondary to familial Mediterranean fever: machine learning-based prediction models.

OBJECTIVES: Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease caused by MEFV mutations, with amyloidosis as its most severe c...

Transcriptome and single-cell RNA sequencing data identify and validate candidate biomarkers associated with lysosomal and ferroptosis in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) represents the most common degenerative joint disease, with emerging evidence linking it to lysosomal dysfunction and ...

Explainable machine learning-based mortality prediction in critically Ill patients with rheumatoid arthritis-associated lung disease: a radiomics and clinical data integration study.

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis.

OBJECTIVE: Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis (RA). Sco...

Identification of Autophagy-related Genes of the Osteoarthritis Using Machine Learning Algorithm.

Accurate classification and prediction of knee osteoarthritis based on Al-Biruni Earth Radius metaheuristic optimizer and LSTM classifier.

Development of Novel and Interpretable Automated Models for Predicting Total Knee Replacement in Knee Osteoarthritis: An International Multicenter Study.

RATIONALE AND OBJECTIVES: Subtle changes in the infrapatellar fat pad (IPFP) enable prediction and quantification of knee osteoarthritis (KOA). This s...

Single-cell sequencing and machine learning-based prediction of spliceosome-associated factor 2 may represent potential targets for osteoarthritis.

BACKGROUND: Osteoarthritis has become a global health challenge due to its complex pathologic mechanisms. Spliceosome-associated factor 2 (SYF2) has b...

Construction of Rheumatoid Arthritis-Associated Interstitial Lung Disease diagnostic model and identification of biomarkers based on a multi-omics integration strategy of machine learning.

OBJECTIVE: This study aimed to develop and validate a machine learning model integrating multi-omics and radiomics data to improve diagnostic accuracy...

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...