Arthritis

Frankincense preparation promotes formation of inflammation-resolving lipid mediators by manipulating lipoxygenases in human innate immune cells.

Frankincense preparations are frequently used as traditional anti-inflammatory remedies in folk medicine with increasing popularity. Boswellic acids (BAs), especially 3-O-acetyl-11-keto-βBA (AKBA), are unique anti-inflammatory principles of frankincense, with multiple pharmacological actions and target proteins. We recently showed that AKBA favorably impacts lipid mediator (LM) networks in innate...

Using deep learning and molecular dynamics simulations to unravel the regulation mechanism of peptides as noncompetitive inhibitor of xanthine oxidase.

Xanthine oxidase (XO) is a crucial enzyme in the development of hyperuricemia and gout. This study focuses on LWM and ALPM, two food-derived inhibitors of XO. We used molecular docking to obtain three systems and then conducted 200 ns molecular dynamics simulations for the Apo, LWM, and ALPM systems. The results reveal a stronger binding affinity of the LWM peptide to XO, potentially due to increa...

Synthetic Knee MRI T Maps as an Avenue for Clinical Translation of Quantitative Osteoarthritis Biomarkers.

A 2D U-Net was trained to generate synthetic T maps from T maps for knee MRI to explore the feasibility of domain adaptation for enriching existing da...

Using natural language processing to explore characteristics and management of patients with axial spondyloarthritis and psoriatic arthritis treated under real-world conditions in Spain: SpAINET study.

BACKGROUND: Spondyloarthritis (SpA) is a group of related but phenotypically distinct inflammatory disorders that include axial SpA (axSpA) and psoria...

APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research.

INTRODUCTION: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoi...

Improved antimicrobial activities of essential oils nanoencapsulated into hydroxypropyl-beta-cyclodextrins.

Natural antimicrobials have recently gained increasing interest over synthetic antimicrobials to overcome foodborne pathogens and food microbial conta...

Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images.

The Kellgren-Lawrence (KL) grading system is a scoring system for classifying the severity of knee osteoarthritis using X-ray images, and it is the st...

Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis.

OBJECTIVE: Ankylosing spondylitis (AS) is chronic inflammatory arthritis causing structural damage and radiographic progression to the spine due to re...

Machine learning and deep neural network-based learning in osteoarthritis knee.

Osteoarthritis (OA) of the knee joint is considered the commonest musculoskeletal condition leading to marked disability for patients residing in vari...

Implementation of artificial intelligence models in magnetic resonance imaging with focus on diagnosis of rheumatoid arthritis and axial spondyloarthritis: narrative review.

Early diagnosis in rheumatoid arthritis (RA) and axial spondyloarthritis (axSpA) is essential to initiate timely interventions, such as medication and...

Expanding from unilateral to bilateral: A robust deep learning-based approach for predicting radiographic osteoarthritis progression.

OBJECTIVE: To develop and validate a deep learning (DL) model for predicting osteoarthritis (OA) progression based on bilateral knee joint views.

Deep Learning Augmented Osteoarthritis Grading Standardization.

Manual grading of cartilage histology images for investigating the extent and severity of osteoarthritis (OA) involves critical examination of the cel...

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.

INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three rheumatic immune diseases with many common charac...

Considerations and targeted approaches to identifying bad actors in exposure mixtures.

Variable importance is a key statistical issue in exposure mixtures, as it allows a ranking of exposures as potential targets for intervention, and he...

Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs: The Total Hip Replacement Prediction (THREP) Model.

BACKGROUND: There are few methods for accurately assessing the risk of total hip arthroplasty (THA) in patients with osteoarthritis. A novel and relia...

Machine learning application in autoimmune diseases: State of art and future prospectives.

Autoimmune diseases are a group of disorders resulting from an alteration of immune tolerance, characterized by the formation of autoantibodies and th...

Using Histologic Image Analysis to Understand Biophysical Regulations of Epithelial Cell Morphology.

Epithelial mechanics and mechanobiology have become 2 important research fields in life sciences and bioengineering. These fields investigate how phys...

Predicting Psoriatic Arthritis in Psoriasis Patients - A Swiss Registry Study.

BACKGROUND: Psoriatic arthritis (PsA) is a prevalent comorbidity among patients with psoriasis, heavily contributing to their burden of disease, usual...

IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy.

BACKGROUND: The most commonly used therapy currently for inflammatory and autoimmune diseases is nonspecific anti-inflammatory drugs, which have vario...

Artificial intelligence in rheumatoid arthritis: potential applications and future implications.

The widespread adoption of digital health records, coupled with the rise of advanced diagnostic testing, has resulted in an explosion of patient data,...