Stem Cell Research

Salt-Mediated Electro-Deformation of AAV Capsids Revealed by Nanopipette-Based Single-Particle Analysis.

Adeno-associated viruses (AAVs) are leading gene therapy vectors; however, maintaining their structural integrity and cargo stability remains a major challenge for consistent therapeutic performance. Although solid-state nanopores can discriminate AAVempty, AAVssDNA, and AAVscDNA capsids based on genomic content, the ionic regulation of their mechanical deformability remains poorly understood. In ...

Pharmacogenomics in oncology: mutation-targeted therapy and biomarker integration in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the most common cancer-related cause of death among all countries globally, mostly because of late diagnosis, heterogeneity of tumors, and poor response to standard therapy. Innovations in the field of pharmacogenomics have completely revolutionized the management of NSCLC by facilitating the application of precision oncology, which matches the treatment to tu...

Disease-modifying antirheumatic drugs (DMARDs) for rheumatoid arthritis after failure of biologic or targeted synthetic therapy: a systematic review and network meta-analysis.

RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-modifying antirheumatic drug (DMARD) therapy in adult...

Germinal vesicle oocytes' rescue: a worthless treatment or a patient-centred approach? Eight years of clinical experience in poor prognosis patients.

STUDY QUESTION: Does germinal vesicle (GV) rescue by IVM provide a meaningful clinical benefit in patients with unexpectedly low mature oocyte yield, ...

Multi-omics analysis of arginine metabolism in ovarian cancer: A prognostic signature and GTF2F2-driven stromal remodeling.

BACKGROUND: Arginine metabolism shapes tumor growth, stromal activation, and antitumor immunity, yet its translational relevance in ovarian cancer (OV...

Bidirectional microbiota-cancer crosstalk: Emerging platforms for advanced diagnostics and precision therapeutics in oncology.

Cancer is among the major causes of morbidity and mortality worldwide, and current treatment methods are limited by various drawbacks such as drug res...

Serum metabolomics profiling in head and neck squamous cell carcinoma: a multicentre diagnostic study.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is frequently diagnosed at advanced stages, when outcomes are poor. Biomarkers for HNSCC det...

Impact of an artificial intelligence automated chatbot-driven educational-counselling intervention on childbearing attitudes and motivations among childless married women: study protocol for a parallel randomised controlled trial.

INTRODUCTION: Understanding population dynamics is essential for achieving the Sustainable Development Goals. Global population growth has slowed, and...

Deep learning-based CD8+ T cell model for predicting prognosis and‌ targeted immunotherapy benefit in ccRCC.

Deep learning holds significant promise for improving clear cell renal cell carcinoma (ccRCC) diagnosis and treatment. However, studies concerning tum...

Automated Cytoplasmic Image Analysis System for Non-invasive Oocyte Quality Screening Workflow Using Static Bright-Field Images.

To determine whether a pre-trained deep neural network (ResNet50) can non-invasively evaluate oocyte quality and predict subsequent embryonic developm...

A biomimetic cryoprotectant preserves extracellular vesicles bioactivity for intravenous administration and potentiates wound healing.

Extracellular vesicles (EVs) have emerged as promising vehicles for drug delivery and disease therapy owing to their intrinsic biocompatibility and ca...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although S...

Integrative single-cell and spatial transcriptomic analysis reveals a lactate-driven crosstalk between NFATc4⁺ tumor cells and SPP1⁺ macrophages in glioblastoma.

BACKGROUND: Glioblastoma (GBM) remains a lethal brain tumor with limited therapeutic options. Metabolic reprogramming, particularly lactate metabolism...

RRM2B is associated with low-level viremia during entecavir therapy in pediatric chronic hepatitis B and promotes profibrotic signaling in vitro.

BACKGROUND: Low-level viremia (LLV) during nucleos(t)ide analogue therapy for chronic hepatitis B (CHB) is clinically relevant, but its biological bas...

TIPs: a deep learning-guided proteogenomic framework to expand the landscape of transposable element-derived antigens with immunopeptidomics.

Transposable elements (TEs) represent an abundant and important source of HLA-presented antigens, but their immunopeptidomic characterization remains ...

A unified multi-task framework enables interpretable chest radiograph analysis.

BACKGROUND: While multimodal deep learning has advanced medical imaging analysis, existing black-box systems may remain confined to isolated tasks, of...

Development of a machine learning-based model for predicting adverse pregnancy outcomes in women with polycystic ovary syndrome (PCOS): a retrospective observational study protocol.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...

Nursing Leadership for Digital NICU Transformation: A Systematic Review of Strategies, Digital Health Integration, and Outcomes in High-Risk Neonates.

BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (NICUs), yet the role of nurse-led governance in sh...

Multidisciplinary research priorities for artificial intelligence in mental health: a call to action.

The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced ...

Development and validation of a disease-syndrome integrated assessment model for AECOPD severity: protocol for a nationwide multicentre cross-sectional study.

INTRODUCTION: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) accelerate disease progression and increase mortality. Accurate se...