Latest AI and machine learning research in transplantation for healthcare professionals.
OCCUPATIONAL APPLICATIONSThis pilot study demonstrates the feasibility of using EEG-derived features to characterize behavioral reliance among engineering graduate students interacting with AI-labeled recommendations. Engineering professionals frequently engage with AI-supported decision systems in safety-critical and cognitively demanding contexts. In such occupational environments, inappropriate...
BACKGROUND: There is an increasing amount of evidence on microbiome-drug interactions in several clinical settings, including in immunocompromised patients. The gut microbiome has been shown to directly and indirectly influence drug efficacy and toxicity, offering high potential for clinical translation. OBJECTIVES: This narrative review aims to provide an up-to-date overview of the relationship b...
OBJECTIVES: To evaluate and compare the trueness of four commercial AI-driven segmentation tools (Diagnocat, Relu, CephX, CoDiagnostiX) and one open-s...
Cancer remains a leading cause of global mortality, with early diagnosis being pivotal for improving treatment outcomes. Traditional tissue biopsy is ...
Fibrosis is a maladaptive pathophysiological process characterized by excessive deposition of extracellular matrix resulting from dysregulated tissue ...
INTRODUCTION: . Pharmacological treatment is the mainstay in the acute and long-term management of severe mental disorders such as major depressive di...
BACKGROUND: Vancomycin-resistant Enterococcus (VRE) infection is a life-threatening complication after liver transplantation (LT). This study aimed to...
The ubiquitous use of plastics in modern society is accompanied by the pervasive occurrence of plastic pollution. Of particular concern are nanoplasti...
In order to address the tracking accuracy degradation of the tank gun control system (TGCS) with inherent structural nonlinearity and feedback hystere...
Chimeric antigen receptor (CAR) T-cell therapy has achieved remarkable success in hematologic malignancies but continues to face significant barriers ...
Patient-based real-time quality control (PBRTQC) serves as a vital supplement to quality management in clinical laboratories. Its core principle is to...
OBJECTIVES: To evaluate the accuracy of CT-derived fat fraction (CDFF) software for quantifying hepatic steatosis at various radiation doses, using MR...
The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a unique educational platform exploring the evolving...
Glioblastoma (GB), the most aggressive primary brain tumor, is characterized by profound inter- and intratumoral heterogeneity and a highly immunosupp...
Cardiovascular disease (CVD) remains the leading cause of mortality worldwide despite major advances in pharmacotherapy. Emerging evidence reveals a p...
Therapeutic resistance remains the principal barrier to durable clinical benefit in oncology, particularly in oncogene-driven malignancies and immune-...
Time-of-flight (ToF) in PET improves image quality by enhancing the signal-to-noise ratio, and recent deep learning (DL)-based ToF (DL-ToF) methods fu...
The lymphatic system-integral to fluid balance, immune surveillance, and lipid absorption-is frequently overlooked despite its vital roles. Traditiona...
Proteins in complex with small-molecule ligands represent the core of structure-based drug discovery. However, three-dimensional representations are a...
Electroencephalography (EEG)-based brain computer interface (BCI) systems hold significant promise across diverse applications; however, their perform...