Latest AI and machine learning research in transplantation for healthcare professionals.
To meet the increasingly stringent demands of next-generation electronic systems, magnetoresistive sensors are required to simultaneously deliver environmental compatibility, advanced functionality, and enhanced intelligence. Here, we demonstrate a synergistic strategy spanning device, algorithm, and system levels to address these challenges in a unified manner. By rationally designing functional ...
Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, systemic inflammation, and postburn immunosuppression promote microbial colonization and progression to local and systemic infections, a challenge further exacerbated by the increasing prevalence of multidrug-resistant organisms (MDRO). Patients with ex...
Platelet-biased hematopoietic stem cells (PLT-HSCs) play key roles in normal physiology, aging, and blood cancer. However, currently, no markers allow...
PURPOSE: To synthesize and critically appraise evidence from systematic reviews and meta-analyses on pterygium, identifying domains with robust suppor...
With rising global high-altitude travel, occupational exposure, and permanent habitation, the health burden of high-altitude-specific diseases and hig...
Long-term outcomes of kidney allografts vary significantly among deceased donor kidney transplant recipients, and current prediction tools struggle to...
SUMMARY: Multi-omics data offer unprecedented insights into complex biological systems, yet their high dimensionality, sparsity, and intricate interac...
Artificial intelligence and data-driven models are changing hepatology, but expert clinical judgment remains essential. Liver diseases are complex and...
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...