Rheumatology

Bisphenol A exposure in myasthenia gravis: Potential targets and mechanisms revealed by network toxicology and molecular dynamics.

BACKGROUND: Myasthenia gravis (MG) is a B-cell-mediated autoimmune disease characterized by impaired neuromuscular transmission. Although genetic predisposition and thymic abnormalities are well recognized, they cannot fully explain the increasing incidence and regional heterogeneity of MG, highlighting the potential contribution of environmental factors. Bisphenol A (BPA), a ubiquitous endocrine-...

Artificial intelligence predicts recurrent autoimmune hepatitis after liver transplantation in a multicenter cohort study.

BACKGROUND: Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threatening long-term survival. Current strategies to prevent recurrence and progressive graft fibrosis remain suboptimal, with limited evidence to guide selection of immunosuppressive regimens. We aimed to develop a dynamic, individualized, artificial in...

AI-integrated multi-omics platform to revolutionize anti-metastatic therapy development through circulating tumor cell profiling: SCRUM-MONSTAR-CTC.

BACKGROUND: Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling pri...

Spatial analysis of paraneoplastic cerebellar degeneration in ovarian cancer with anti-Yo syndrome and SCA1.

BACKGROUND: Anti-Yo paraneoplastic cerebellar degeneration (PCD) is a rare autoimmune disorder linked to ovarian and breast cancers. Neurological symp...

IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging.

Immunosenescence increases susceptibility to infection and reduces vaccine responsiveness, yet bulk transcriptomic clocks obscure the cellular heterog...

Molecular mechanisms of phytochemicals from Zanthoxylum nitidum (Roxb.) DC. against hepatocellular carcinoma: insights from network pharmacology, molecular docking, and bioinformatics.

Hepatocellular carcinoma (HCC) is an aggressive malignancy with limited therapies. We explored the anti-HCC mechanisms of Zanthoxylum nitidum (Roxb.) ...

Interpretable dynamic quantitative vascular morphometry features using SHAP for anti-angiogenic therapy response prediction.

Anti-angiogenic therapy benefits vary, with response rates of 40 to 70%, highlighting the need for early biomarkers to identify responders. We develop...

Classifying Diabetic and Healthy β-Cells in Type 2 Diabetes Using Machine Learning on Single-Cell RNA Sequencing Data.

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impaired insulin production or function. Two main forms...

Integrative multi-omics analysis unravels the metabolic landscape and reveals serum biomarkers for early diagnosis of hyperuricemia.

BACKGROUND: Hyperuricemia (HUA) is a major risk factor for gout and multiple metabolic disorders. Although serum uric acid (UA) is the gold standard f...

Assessing Alopecia Areata Misinformation: Social Media Analysis.

BACKGROUND: Alopecia areata (AA) is an autoimmune, hair loss-inducing disease affecting individuals of all genders and ethnic backgrounds worldwide. A...

Harnessing AI and social media to understand real-world patient experiences in SLE.

OBJECTIVE: To apply large language models (LLMs) to Reddit posts referencing SLE to identify patient-expressed unmet medical needs, symptom experience...

Moderate-to-substantial agreement of ChatGPT-5 for Kellgren-Lawrence grading on synthetic knee radiographs: a controlled cross-sectional observer agreement study.

AI models are increasingly explored for radiographic assessment of knee osteoarthritis, but their reliability as an experimental model for KL grading ...

The role of artificial intelligence in clinical trials in adult and pediatric rheumatology.

The development of clinical trials is limited by high costs and methodological complexities. In this context, artificial intelligence (AI) is emerging...

Integrating single-cell sQTL mapping with deep-learning splicing prediction identifies causal variants under influenza infection.

BACKGROUND: Realizing the full potential of human genetics requires identifying causal variants and genes underlying association signals. Molecular qu...

Quality by Design to Mitigate Aggregation: Mechanistic Insights and Analytical Strategies for Biopharmaceutical Manufacturing.

This review highlights the problem of protein molecule aggregation, which represents a significant challenge in the field of biopharmaceuticals. Prote...

Therapeutic potential of pachymic acid in glioma: a comprehensive approach combining experimental validation, network pharmacology, and machine learning.

Pachymic acid (PA) is a natural active component of Poria cocos(Schw.)Wol. Although PA exhibits antitumor activity in multiple cancers, its effects an...

Calibration-aware genomic prediction of paratuberculosis serostatus in indigenous Turkish goats.

Paratuberculosis, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is a chronic, incurable enteritis of ruminants in which late-onset clin...

The Impact of Social Media and Artificial Intelligence on Illness Perception and Treatment Adherence in Patients With Rheumatic Diseases.

BACKGROUND/OBJECTIVE: In the wake of the COVID-19 "infodemic," patients increasingly turn to social media (SM) and artificial intelligence (AI) for he...

Graphene Oxide Encapsulated Natural Plant Essential Oil as Ti6Al4V-UHMWPE Joint Prostheses Biolubricant: Tribological Behavior and Machine Learning-Assisted Mechanism Analysis.

It is important to enhance the overall efficacy of artificial joint systems by addressing friction and oxidation issues at the joint prosthesis interf...

Artificial intelligence-based ultrasound diagnosis of Hashimoto's thyroiditis: a systematic review and meta-analysis.

BACKGROUND: Hashimoto's thyroiditis (HT) is the most common autoimmune thyroid disorder, often diagnosed using ultrasound. However, conventional gray-...