Latest AI and machine learning research in transplantation for healthcare professionals.
Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with mounting evidence suggesting a role for the gut-lung axis. However, the mechanistic link between gut microbiota dysbiosis and ALI pathogenesis in LT recipients remains poorly understood. This hybrid translational investigation integrates transcriptomic profiling (bulk and single-cell RNA-seq), immun...
BACKGROUND: Body donor dissection is fundamental to medical education but often induces anxiety and emotional distress in students, potentially impacting learning outcomes and well-being. Traditional preparation methods emphasize technical and procedural elements while inadequately addressing students' emotional challenges. Recent advances in educational technology, particularly 360° video-based v...
Multispectral compatible stealth is crucial for modern detection environments. Despite conflicts among stealth mechanisms, current strategies lack eff...
BACKGROUND: Morphological changes of abdominal organs in hepatocellular carcinoma (HCC) remain uncharacterized. This study aimed to automatically quan...
The rapid integration of generative artificial intelligence (AI) tools into higher education has intensified conversations regarding usefulness, ethic...
Burn injuries and chronic wounds impose a substantial and growing global health and economic burden, particularly in low- and middle-income countries ...
Organic thermally activated delayed fluorescence (TADF) emitters have attracted considerable attention in organic light-emitting diode (OLED) applicat...
Graft-versus-host disease (GVHD) continues to be a major cause of morbidity after allogeneic stem cell transplantation. This article summarizes curren...
Prognostic assessment of diabetic kidney disease (DKD) is essential for personalized management. This study developed eight machine learning models us...
OBJECTIVE: The purpose of this study was to create a risk score for loss of aorto-bifemoral artery bypass (ABF) patency utilizing preoperative, periop...
INTRODUCTION: The use of artificial intelligence (AI) in the scientific process is advancing at a remarkable speed, thanks to continued innovations in...
Three-dimensional (3D) cancer models, notably patient-derived organoids (PDOs), address the critical limitations of traditional preclinical systems, i...
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal...
Raman spectroscopy (RS) has fascinated as a molecular diagnostic tool because of its potential to deliver label-free biochemical analysis of biologica...
Soil salinization poses a severe threat to global food security. However, deciphering the spatiotemporal dynamics of key metabolites and ions in livin...
In hematopoietic cell transplant (HCT) patients, intestinal Candida parapsilosis expansion and translocation can cause life-threatening candidemia, ye...
Artificial intelligence (AI) increasingly influences clinical decision-making, yet its recommendations may diverge from standard care. Although malpra...
Circularly polarized luminescence (CPL) has been catching increasing attention for developing advanced photonic displays, quantum communication, bioim...
Foreign object detection (FOD) in autonomous driving environments poses a significant challenge due to the dual nature of anomalous objects: known obj...
Hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) is a heterogeneous malignancy with poor prognosis, necessitating refined classificatio...