Stem Cell Research

Clinical and immunological significance of FOXO1 as a biomarker of improved response to immune checkpoint plus tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma.

BACKGROUND: Predicting response to immune checkpoint inhibitor plus tyrosine kinase inhibitor (IO+TKI) therapy in metastatic renal cell carcinoma (mRCC) remains challenging. Forkhead box protein O1 (FOXO1) is a key transcription factor regulating tumor suppression and T cell immunity, but its clinical and immunological significance in RCC is unclear. METHODS: FOXO1 expression was analyzed in TCGA-...

Reconstructing tumor tissues in 3D: From organoids to bioengineered niches.

Tumor tissue engineering, integrating organoid, microfluidic, and biofabrication technologies, has opened new avenues for cancer research. Leveraging advanced bioengineering and biomaterials, these 3D models capture tumor architecture, cellular heterogeneity, biomechanics, and biochemical characteristics for disease modeling. Despite recognition that tissue organization influences malignancy and d...

Current Patient Attitudes to Artificial Intelligence Applications in Radiology.

OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algorithms in radiology, which will change the experienc...

A Thermogalvanic Cell Microneedle Patch for Integrated Diagnosis and Treatment of UV-Induced Early Skin Cancer.

Early stage skin cancer exhibits a high cure rate; however, conventional noninvasive screening suffers from diagnostic inaccuracies, and treatment rel...

Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System.

BACKGROUND: Improving screening coverage is a central goal of the global strategy to eliminate cervical cancer. In resource-constrained settings, insu...

Gene regulatory landscape dissected by single-cell four-omics sequencing.

Cellular diversity is governed not only by the transcriptome but also by multiple layers of epigenomic regulation, including nucleosome occupancy, chr...

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study.

BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagnosis is crucial to decide whether to perform segme...

Artificial Intelligence in Couple and Family Therapy: Introduction of the AI Competencies.

Artificial Intelligence (AI) has rapidly altered the practice of couple/marital and family therapy (CMFT). While much has been written in other discip...

Interpretable LightGBM model with SHAP analysis predicts non-excellent response to initial radioiodine therapy in differentiated thyroid carcinoma.

PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactive iodine (1 3 1I) therapy in differentiated thyroi...

Arrhythmias and cardiac devices management in oncology patients.

Cardiac arrhythmia is increasingly encountered in patients with cancer, not only as a result of shared risk factors but also as a direct consequence o...

Testosterone-Sparing Treatment Strategies for Biochemically Recurrent Prostate Cancer After Radical Prostatectomy.

PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy occurs in up to one-third of patients and increases the risk of metastasis...

Quantitative and qualitative motion analysis for early detection of joint damage in haemophilia patients: study protocol for a pilot feasibility study at a German haemophilia treatment centre.

INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeate...

Seeing and Feeling DNA Methylation: Single-Molecule Biophysics Meets Machine Learning.

DNA methylation at 5-methylcytosine (5mC) is crucial for embryonic development and cellular function, while aberrant patterns strongly drive disease o...

[A smart way back to work-The impact of digital rehabilitation on return-to-work outcomes after hand injuries].

BACKGROUND: Restoring the ability to work after hand injuries is a central goal of rehabilitation. Digital therapy applications are increasingly findi...

Mobile Imaging-Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study.

BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveillance, providing critical data to evaluate national...

Dual-energy CT clot and peri-clot radiomics for predicting complete reperfusion and clinical outcome following endovascular therapy in acute ischemic stroke.

OBJECTIVES: Complete reperfusion is the optimal technical goal of endovascular therapy (EVT) and is closely linked to favorable outcomes in acute isch...

Short-Peptide Biomaterials for Angiogenesis and Lymphangiogenesis: Advances in Tissue Engineering and Regenerative Medicine.

Vascular and lymphatic vessel regeneration is crucial for tissue repair and organ function restoration. However, conventional biomaterials are often c...

AI-Enhanced ECG Screenings: An Alternative to Traditional Questionnaires for Ischaemic Heart Disease.

Ischaemic heart disease (IHD) is the leading global cause of death. Traditional screening tools like the Framingham Risk Score (FRS) and Systematic Co...

Large language models for risk-of-bias assessment in randomised clinical trials-a comparative validation study.

BACKGROUND: Large language models (LLMs) are emerging tools for evidence synthesis. Risk of bias (RoB) assessment of trials remains an essential but t...

Dosimetric comparison of intensity modulated proton therapy and knowledge-based volumetric arc therapy for left-sided breast cancer.

INTRODUCTION: There is increasing interest in the application of proton beam therapy to left-sided breast cancer, due itspotential to reduce heart dos...