Latest AI and machine learning research in transplantation for healthcare professionals.
BACKGROUND: Forensic age estimation is frequently requested when chronological age is unknown or contested. While automated bone age systems have been validated in clinical populations, their performance against committee-based forensic reference standards-and their compatibility with the AGFAD-compliant Mindestalter (minimum chronological age) framework-has not been systematically addressed in ca...
As global temperatures continue to rise, the incidence and mortality rates of heatstroke (HS) have significantly increased. However, the current forensic diagnostic standards lack clear pathological criteria for deaths caused by HS, and the mechanisms of multi-organ damage induced by HS are not yet fully understood. In this study, a rat model of HS-induced death was established under conditions of...
Despite advances in lipid-lowering and anti-inflammatory medications, atherosclerotic cardiovascular disease (ASCVD) continues to be the leading cause...
gem-Difluorophosphonates are pivotal structural motifs in pharmaceuticals and bioactive molecules. While photoenzymatic catalysis provides a powerful ...
The monoamine oxidase B (MAO-B) enzyme and Sigma-1 (Sig-1R) receptor are therapeutically relevant targets implicated in neurodegenerative and neuropsy...
Glioblastoma presents a significant challenge for drug development due to its complex immunosuppressive microenvironment. Identifying candidate therap...
BACKGROUND: Metabolic reprogramming represents a hallmark feature of hepatocellular carcinoma (HCC). As a crucial branch of the polyol pathway, the bi...
Acinetobacter baumannii is a critical multidrug-resistant pathogen causing severe healthcare infections with high mortality, yet no licensed vaccine e...
Artificial Intelligence (AI) has widespread applications in solid organ transplantation (SOT), a field that fundamentally depends on optimizing comple...
BACKGROUND: Heatstroke (HS) encompasses acute multi-organ dysfunction and increases susceptibility to subsequent heat-related conditions, making timel...
BACKGROUND: Decabromodiphenyl ether (BDE-209) is a widely used flame retardant and persistent environmental contaminant. However, the overlap between ...
INTRODUCTION: Radiographic image quality is evaluated based on technical and anatomical criteria; however, this study investigates how radiographers i...
Organ-on-a-Chip (OOC) technology offers a powerful platform for replicating human tissue-specific microenvironments, thereby narrowing the translation...
Saphenous vein graft (SVG) percutaneous coronary intervention (PCI) remains technically challenging and clinically high risk due to the friable, throm...
Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...
Sensors play a vital role in modern production and daily life, where high sensitivity, selectivity, and device integration are increasingly required. ...
Employee turnover prediction is a critical challenge in human resource management. Existing studies emphasise predictive accuracy but generally treat ...
BACKGROUND: As coronavirus disease 2019 (COVID-19) has transitioned into an endemic phase characterized by sustained transmission and widespread hybri...
BACKGROUND: Neoantigens-tumor-specific peptides generated by somatic mutations-are central targets of effective anticancer T cell immunity and underpi...
BACKGROUND: Integrating machine learning (ML) with population pharmacokinetic (PPK) modeling may improve therapeutic drug monitoring predictions. METH...