Latest AI and machine learning research in transplantation for healthcare professionals.
BackgroundPrecise anthropometric data are vital for ergonomic assessment and farm machinery design. ...
UNLABELLED: This study aimed to identify patient groups in which myeloablative conditioning (MAC) or...
OBJECTIVE: Using the fibular flap as a model, this study aims to develop a three-dimensional visuali...
BACKGROUND: Beyond their classical roles in haemostasis and thrombosis, platelets have been recognis...
Neurodegenerative diseases (NDs) are progressive and incurable central nervous system disorders char...
In situ monitoring of lithium-ion battery thermal runaway is limited by the invasiveness and insuffi...
Bone defects caused by inflammation, trauma, tumor resection, or tooth extraction present persistent...
Recent advances in three-dimensional single-cell-resolution imaging have begun to link organ-wide an...
Monoclonal gammopathies span a continuum from monoclonal gammopathy of undetermined significance (MG...
BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, ...
Research and development of non-aqueous electrolyte solutions are essential for practical advancemen...
The emergence of ultralarge-scale hardware systems for artificial intelligence is driving demand for...
OBJECTIVES: Electronic Health Records (EHRs) contain a wealth of unstructured patient data that can ...
Optogenetics enable the restoration of light sensitivity in various retinal cell types. In degenerat...
Artificial intelligence (AI) and machine learning (ML) are beginning to enhance key workflows across...
Osmotic fragility (OF) is widely used to evaluate red blood cell (RBC) membrane stability, water tra...
INTRODUCTION: Gigantomastia causes physical, psychological, and dermatological issues, often with pt...
BACKGROUND Acute lung injury (ALI) after liver transplantation (LT) is a critical complication negat...
Chimeric antigen receptor natural killer (CAR-NK) cell therapy is an emerging cancer treatment offer...
BACKGROUNDChronic graft-versus-host disease (cGVHD) is a major contributor to nonrelapse mortality (...
Deep learning-based Organ-at-Risk (OAR) and tumor segmentation is vital for radiation therapy planni...