Rheumatoid Arthritis

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).

INTRODUCTION: Clostridioides difficile infection (CDI) present a significant challenge in patients with inflammatory bowel disease (IBD), with high recurrence rates and complications. Predicting recurrent CDI (rCDI) in IBD patients is crucial for implementing targeted interventions to improve patient outcomes. This study aimed to develop and validate a predictive model (RecurCDI-IBD) using supervi...

Unveiling particle-hole symmetry breaking and topological transitions in the v = 5/2 fractional quantum hall state via principal component analysis.

The v = 5/2 fractional quantum Hall (FQH) state, as a special single-layer system with an even-denominator filling factor, serves as a promising platform for exploring exotic topological phases. In this study, we employ principal component analysis (PCA), an unsupervised machine learning technique, to investigate the evolution of many-body wavefunctions under particle-hole symmetry breaking. By in...

Natural sources and bioactive mechanisms of anti-inflammatory peptides: from digestive metabolism to bioavailability enhancement strategies.

Anti-inflammatory peptides (AIPs), a class of biologically active molecules with high specificity and low toxicity, demonstrate outstanding potential ...

Translational and real-world evidence of trastuzumab biosimilar CT-P6 plus pertuzumab in neoadjuvant HER2-positive early breast cancer.

BACKGROUND: Data on neoadjuvant treatment with trastuzumab biosimilars, particularly CT-P6, in combination with pertuzumab, are limited. This study ev...

Efficient AI-driven allegation screening: A case study of Thailand's National Anti-Corruption Commission.

Efficient screening of corruption allegations is crucial for promoting accountability and transparency in public administration. However, many institu...

Coniferyl aldehyde in ginger-Eucommiae Cortex enhances osteoarthritis treatment by modulating ALDOA and H3K23la histone lactylation.

BACKGROUND AND PURPOSE: Eucommiae Cortex (EC), a traditional Chinese medicinal herb, has been utilized to treat osteoarthritis (OA). The therapeutic e...

Integrated multi-omics analysis of prognostic model and immune microenvironment in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy originating from the epithelial lining of second-order bile ducts. Desp...

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatment of neovascular age-related macular degeneratio...

Artificial intelligence based prediction of first recurrence in neovascular age related macular degeneration with validation by 19 experts.

This study aimed to investigate the value and difference in predictive performance between ophthalmologists and a previously developed and validated a...

Lymph Node Metastasis-Associated Spatiotemporal Mapping of the TFF3-Linked Niche in Breast Cancer: Integrating Radiogenomic Signatures with Immune-Ecosystem Remodeling.

Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct clinical outcomes, including reduced survival (The...

Serial Aqueous Humor Proteomics in Diabetic Macular Edema: Correlation of Novel Targets with Retinal Fluid Volume.

OBJECTIVE: Diabetic macular edema (DME) with incomplete response to anti-VEGF therapy is a significant challenge. Here, we integrated advanced proteom...

Plasma proteomics biomarkers for predicting anti-tuberculosis drug-induced liver injury: A comprehensive assessment.

AIMS: This study aims to identify predictive plasma protein biomarkers for anti-tuberculosis drug-induced liver injury (ATB-DILI) and develop machine ...

Integration of interpretable multi-features and multi-loss functions for multi-functional therapeutic peptide prediction via dataset construction.

Multi-functional therapeutic peptides (MFTP) play a crucial role in drug development, exhibiting properties such as anti-cancer, anti-inflammatory eff...

Bergenin attenuates traumatic brain injury via inhibition of microglial PFKFB3-driven glycolytic-inflammatory crosstalk.

Traumatic brain injury (TBI) initiates a complex cascade of neuroinflammatory and metabolic disturbances that exacerbate neuronal loss and neurologica...

Reconnecting new tetrahydrobenzothieno-4-pyrimidine amides as potent PIM-1 kinase inhibitors via an integrated ligand, machine learning model and structure based scaffold hopping: In vitro anti-tumor investigations.

PIM1 has been known to be one of the prolific molecular target in the discovery of new potential anticancer drugs due to its engagement in activation ...

Investigating the mechanism of berberine in inhibiting periodontitis progression using machine learning, molecular docking, and experimental validation.

BACKGROUND: Periodontitis is a chronic inflammatory disease characterized by the destruction of periodontal tissues. Berberine (BBR), a natural alkalo...

Aucklandia lappa, Vladimiria souliei, and Inula helenium: A comprehensive review on the ethnomedicines, phytochemicals, quality control and pharmacology of three confusable Muxiang varieties (2015-2025).

ETHNOPHARMACOLOGICAL RELEVANCE: The dried roots of Aucklandia lappa (Mu-Xiang), Vladimiria souliei (Chuan-Mu-Xiang), and Inula helenium (Tu-Mu-Xiang),...

Strategy and efficiency-redefined discovery of novel nanomolar tyrosinase inhibitors: AI de novo molecular generation + expert-guided structural optimization.

Artificial intelligence (AI) has played an excellent supporting role in novel drug discovery and development. This study introduces a reinforcement le...

Advances in porous icephobic surfaces: Toward next-generation aircraft ice protection strategy.

The accretion of ice on aircraft wings, sensors, and engines presents a serious hazard to flight safety, underscoring the need for durable and energy-...

Identification of alkaline phosphatase as a putative biomarker of anti-NGF treatment-associated arthropathies: Machine learning-assisted analyses of clinical trial data.

OBJECTIVE: Nerve growth factor (NGF) inhibitors have been shown to provide pain relief in patients with osteoarthritis but are associated with adjudic...