Transplantation

Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.

BACKGROUND: Telomeres, located at chromosome ends, regulate cell division and maintain genomic stability. Telomere-related genes (TRGs) play essential roles in tumorigenesis and immune escape, but their mechanisms in lung adenocarcinoma (LUAD) are not fully understood. METHODS: This study integrated genomics, transcriptomics and pathological images to analyze TRGs expression in LUAD. Univariate Co...

Implementation of artificial intelligence to automate physical disector in a fractionator design for quantification of stem cell-derived neurons.

Accurate quantification of stem cell-derived dopaminergic neurons is essential for advancing cell therapy strategies in Parkinson's disease (PD). Traditional manual stereological methods, while robust, are time-consuming and subject to interobserver variability, limiting their scalability for preclinical and translational studies. This study presents the development and validation of an artificial...

Single-cell profiling identifies a pro-tumoral VCAN positive macrophage subset and defines a prognostic signature in glioblastoma.

Glioblastoma (GBM), the most aggressive primary brain tumor, develops within a tumor microenvironment (TME) dominated by tumor-associated macrophages ...

Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinoma.

BACKGROUND: Lung squamous cell carcinoma (LUSC) exhibits poor prognosis and a highly complex tumor immune microenvironment (TIME), creating an urgent ...

A national-scale sandy beach dataset for India derived from high-resolution satellite imagery and deep learning.

Sandy beaches are important coastal features with ecological, social, and economic significance, yet comprehensive national-scale datasets mapping the...

Integrative analysis of single-cell and transcriptomic data with RT-qPCR validation explores TRPM4-associated gene signatures in osteoarthritis synovium.

Osteoarthritis (OA) is a chronic, disabling condition whose pathogenesis remains unclear. TRPM4 is closely associated with OA, but its specific roles ...

A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale.

Autonomous acoustic recorders are increasingly important tools for monitoring sound-producing taxa. Coupled with advances in machine learning, they en...

Cross-Species Plant Single-Cell Analysis: Community Challenges and Shared Solutions.

Single-cell genomics is rapidly reshaping plant biology, yet broader adoption is limited by plant-specific technical constraints, fragmented tools, an...

Electrochemical Biosensors for Hepatocellular Carcinoma: Advances, Analytical Performance, and Clinical Translation.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide due to the limited sensitivity of current surveillance an...

RNA-based cancer immunotherapy: Harnessing the power of RNA nanoparticles for melanoma treatment.

RNA-based cancer immunotherapy has emerged as a next-generation strategy in oncology, harnessing the versatile properties of RNA molecules to activate...

Managing multidrug resistant Gram-negative bacteraemia in immunocompromised hosts.

PURPOSE OF REVIEW: Multidrug-resistant Gram-negative bloodstream infections (MDR-GNBSI) are increasingly frequent in immunocompromised hosts, particul...

Identification of sepsis subphenotypes: current methods and clinical implications in critical care practice. A structured narrative review.

Sepsis demonstrates high variability in clinical manifestations, and patients with similar manifestations at the moment of diagnosis usually develop i...

[Chapter 6. Ethical issues in transplant matching].

This contribution examines the ethical issues that arise when organ-patient matching is performed using algorithmic matching. The first part reviews t...

Deep learning-powered quantification of endocrine cells and CD3+ T cells in the natural history of type 1 diabetes.

AIMS/HYPOTHESIS: Histopathological analysis in type 1 diabetes presents challenges in achieving precise characterisation with cellular quantification ...

Prediction of SARS-CoV-2 exposure through T cell activation profiles.

In the ongoing effort to study the SARS-CoV-2 virus and COVID-19 disease, assessment of the T cell immune response has guided vaccine and therapeutic ...

Deep Learning Morphometric Analysis on Protocol Biopsies Predicts Future Graft Function.

INTRODUCTION: The predictive value of Banff classification in protocol transplant biopsies without specific lesions is limited. Morphometry provides p...

Accurate estimation of hip range of motion using MediaPipe and inertial sensors with machine learning models.

Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such a...

Modulation of tumor-derived exosomes and reprogramming of cancer-associated fibroblasts for colorectal cancer therapy.

Hypoxia is pervasive within the solid tumor microenvironment (TME), reshaping it through exosome release. As the main component of the tumor stroma, f...

Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.

Reproducibility is essential for scientific software but can be hindered by technical and maintenance challenges. As part of the Global Bioimage Analy...

Factors Associated with Respite Care Use Among Veteran Caregivers: A Machine Learning Analysis.

BACKGROUND AND OBJECTIVES: Respite care provides temporary relief to family caregivers yet remains underused, and the factors shaping its utilization ...