Transplantation

Metabolic reprogramming and immune microenvironment profiling in clear cell renal cell carcinoma: implications for prognosis, targeted therapy, and drug resistance.

Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of kidney cancer, distinguished by intricate interactions between metabolic reprogramming, immune microenvironment dynamics, and genetic mutations. In this detailed investigation, we analyzed the ccRCC cohort from The Cancer Genome Atlas (TCGA) alongside 81 metabolic signaling pathways from the KEGG database. By utilizing Gene Set ...

A Machine Learning Method for Predicting Acute Kidney Injury in Patients with Intracranial Hemorrhage.

Intracranial hemorrhage (ICH) is a critical and urgent condition in clinical practice. Recent research has highlighted acute kidney injury (AKI) that frequently impacts patient prognosis. For clinicians, early intervention is crucial, and the advancement of machine learning brings promising prospects for predicting this disease. Therefore, this study aims to develop innovative machine learning mod...

Advances of oncolytic vaccinia viruses armed with interleukin in tumor therapy.

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. Oncolytic vaccinia viruses express IL-2, IL-10, IL...

Exploring the determinants of AIGC usage intention based on the extended AIDUA model: a multi-group structural equation modeling analysis.

OBJECTIVE: With the rapid development and widespread adoption of generative artificial intelligence (GenAI) technologies, their unique characteristics...

Exploration of Crucial miRNA Signatures and Molecular Mechanisms in the System of Muscle-Exosome-Bone: Evidence from Transcriptome Data.

Muscles and bones are adjacent in spatial position and closely related in function. Exosomes can achieve communication between donor and receptor cell...

A multi-faceted discovery strategy identifies functional antibodies binding to cysteine-rich domain 1 of hDKK1 for cancer immunotherapy via Wnt non-canonical pathway.

Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can be exerted by the activation of the β-catenin-depe...

Progestin prime ovarian stimulation provides comparable outcomes to GnRH antagonist in donor cycles with vitrified oocytes.

OBJECTIVE: To compare the effectiveness and safety of Medroxyprogesterone Acetate (MPA) and Gonadotropin-Releasing Hormone antagonist (GnRHant) protoc...

Predicting Treatment Outcomes in Glioblastoma: A Risk Score Model for TMZ Resistance and Immune Checkpoint Inhibition.

Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resistance to standard chemotherapy, i.e., temozolomide ...

SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning.

The fish market is a crucial industry for both domestic economies and the global seafood trade. Accurate fish species classification (FSC) plays a sig...

Development of a warning model for drug-induced liver injury in the older patients.

INTRODUCTION: Drug-induced liver injury (DILI) is a significant adverse drug reaction, ranging from mild liver enzyme elevations to severe outcomes su...

Investigation of the Significance of Blood Signatures on Sepsis-Induced Acute Lung Injury in Sepsis Within 24 Hours.

Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction. As a time-sensitive condition, sepsis requires pr...

A Novel Approach to Sequential Organ Failure Assessment (SOFA) Using Near-Infrared Spectroscopy in Extracorporeal Membrane Oxygenation (ECMO) Patients.

Extracorporeal membrane oxygenation (ECMO) is a medical device that provides temporary external circulation and respiratory support during heart-lung ...

Biomimetic Intelligent Thermal Management Materials: From Nature-Inspired Design to Machine-Learning-Driven Discovery.

The development of biomimetic intelligent thermal management materials (BITMs) is essential for tackling thermal management challenges in electronics ...

Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies.

: Late-onset pre-eclampsia (LO-PE) remains difficult to predict because placental angiogenic markers perform poorly once maternal cardiometabolic fact...

Facial Analysis for Plastic Surgery in the Era of Artificial Intelligence: A Comparative Evaluation of Multimodal Large Language Models.

Facial analysis is critical for preoperative planning in facial plastic surgery, but traditional methods can be time consuming and subjective. This s...

Integrating Network Analysis and Machine Learning to Elucidate Chemical-Induced Pancreatic Toxicity in Zebrafish Embryos.

Zebrafish (Danio rerio) are a popular vertebrate model for high-throughput toxicity testing, serving as a model for embryonic development and disease ...

Nucleic acid spheres for treating capillarisation of liver sinusoidal endothelial cells in liver fibrosis.

Liver sinusoidal endothelial cells (LSECs) lose their characteristic fenestrations and become capillarized during the progression of liver fibrosis. M...

Deciphering Shared Gene Signatures and Immune Infiltration Characteristics Between Gestational Diabetes Mellitus and Preeclampsia by Integrated Bioinformatics Analysis and Machine Learning.

Gestational diabetes mellitus (GDM) and preeclampsia (PE) are common and serious disorders of pregnancy that threaten maternal safety and perinatal ou...

Longitudinal changes in minerals are influenced by immunosuppressive treatment in men with granuloma disease.

PURPOSE: To investigate whether granuloma formation following self-administered cosmetic oil injections affects mineral homeostasis, specifically calc...

Integrity of polymeric micelles regulates bioavailability of cyclosporine A: A FRET-based analysis during oral delivery.

This study comprehensively investigated the effect of structural integrity on the oral delivery efficacy of mPEG-b-PCL polymeric micelles (PMs) using ...