Latest AI and machine learning research in transplantation for healthcare professionals.
OBJECTIVE: Family caregivers of persons with dementia experience grief as the care recipients' dementia advances. Here, we explore how various interpersonal factors hypothesized to relate to prolonged grief disorder (PGD) (e.g., perceived burdensomeness, thwarted belongingness) and our micro-social theory of grief (e.g., relational deprivation, self-esteem-related social support) relate to caregiv...
BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurological outcomes. Early identification remains challenging, as existing predictive tools lack specificity for this distinct population. An interpretable machine learning (ML) model was designed and validated to enable prediction of delirium among SALI p...
Optical photothermal infrared (O-PTIR) spectroscopy is rapidly transforming molecular imaging by combining the chemical specificity of infrared absorp...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...
Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis due to treatment resistance and an immunosuppressive, fibrotic microenvironment. Ferrop...
INTRODUCTION AND HYPOTHESIS: Preoperative lower-extremity venous thrombosis (LEVT) is frequently overlooked in women undergoing pelvic organ prolapse ...
BACKGROUND AND OBJECTIVE: Accurate and safe needle insertion is critical in abdominal percutaneous interventions, particularly for liver-targeted proc...
BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic ef...
Patch-wise learning is a common strategy for training neural networks on large-scale dense prediction problems, yet existing approaches assume uniform...
BACKGROUND: Acute lung injury and its severe form, acute respiratory distress syndrome (ARDS), represent life-threatening conditions with high mortali...
Food freshness is a significant quality and safety attribute, which contributes in consumers' health and their food choices. The adoption of rapid, ac...
Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by the convergence of obesity, diabetes, and cardiov...
BACKGROUND AND OBJECTIVES: Adults with sickle cell disease (SCD) are at risk of decline in brain health and cognition, even without clinical stroke. S...
Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requiring a receptor structure or binding site to pred...
The Organ Utilisation Group was established to address barriers in solid organ transplantation and improve patient outcomes across the United Kingdom....
PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. Howe...
This article investigates a dissipative disturbance-estimator (DDE)-based neuro-adaptive integral sliding-mode control (ISMC) for multiple autonomous ...
Artificial intelligence (AI)-based risk prediction is increasingly implemented in clinical care, but randomized evidence on communication and shared d...
BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progression, yet their clinical significance and cellular m...