Latest AI and machine learning research in transplantation for healthcare professionals.
SUMMARY: Multi-omics data offer unprecedented insights into complex biological systems, yet their high dimensionality, sparsity, and intricate interactions pose significant analytical challenges. Network-based approaches have advanced multi-omics research by effectively capturing biologically relevant relationships among molecular features (e.g., genes, proteins, metabolites). While these methods ...
Artificial intelligence and data-driven models are changing hepatology, but expert clinical judgment remains essential. Liver diseases are complex and evolve over time, requiring reasoning that links numerical data with clinical context. We propose data-informed intuition (DII), a conceptual framework bridging evidence-based medicine with clinical experience and reflective reasoning. Instead of pr...
BACKGROUND: Kidney transplantation is among the most effective treatments for end-stage renal disease. However, kidney transplant (KT) recipients rema...
Precise intraoperative localisation of subcortical brain structures remains a critical challenge in deep brain stimulation, yet openly available micro...
The electrosynthesis of value-added organonitrogen chemicals offers a promising strategy to address the anthropogenic unbalance of global nitrogen cyc...
Colorectal cancer stem-like cells (CRC-SCs) represent a tumor subpopulation with enhanced tumor-initiating capacity and have been implicated in metast...
The growing scarcity of global freshwater resources, coupled with steady advancements in seawater desalination technology, has made the development of...
Nanomedicine has revolutionized oncology through targeted drug delivery and theranostic applications. However, its clinical translation remains a form...
Graphene oxide (GO) holds considerable promise for nanofiltration applications, owing to its distinctive two-dimensional layered architecture and tuna...
BACKGROUND: Patients with hypothyroidism admitted to the intensive care unit (ICU) frequently develop hypothyroidism-associated delirium (HAD), a cond...
OBJECTIVE: Antimicrobial Stewardship Programs (ASPs) need healthcare economic analyses to support and inform ASP strategies. This work aimed to determ...
Metabolomic detection enables a systems-level understanding of biological processes, while many emerging demands remain unmet. Surface-enhanced Raman ...
Glioblastoma multiforme (GBM) represents the most aggressive primary brain tumor in adults, characterized by significant heterogeneity, rapid progress...
Knowledge-based planning (KBP) has emerged as a promising approach to improve the consistency and efficiency of radiotherapy by utilizing prior clinic...
Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with mounting evidence suggesting a role for the gut-lu...
BACKGROUND: Body donor dissection is fundamental to medical education but often induces anxiety and emotional distress in students, potentially impact...
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 ...