Latest AI and machine learning research in kidney transplantation for healthcare professionals.
Antibody-mediated rejection (AbMR), driven by donor-specific alloantibodies (DSAs), is a major cause...
Are large language models robust against adversarial attacks in medical peer review? In this factori...
Chronic kidney disease (CKD) affects millions worldwide and often progresses to end-stage renal dise...
Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart trans...
Patients with diabetes undergoing hemodialysis (HD) are at risk of asymptomatic hypo- and hypergly-c...
Lung transplantation remains the only definitive treatment for patients with end-stage respiratory f...
Accurate early prediction of neurological outcomes in comatose patients after cardiac arrest is crit...
Sepsis-induced immunosuppression, characterized by lymphopenia, is associated with adverse outcomes....
Optimizing immunosuppressive therapy remains central to improving long-term outcomes after kidney tr...
Studies show that breast screening participants are open to artificial intelligence (AI) in breast s...
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical predi...
BACKGROUND: Necroptosis, a recently identified mechanism of programmed cell death, exerts significan...
Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However,...
The control of Biomedical Systems in Physical Human-Robot Interaction (pHRI) plays a pivotal role ...
Whole-body hemodynamics simulators, which model blood flow and pressure waveforms as functions of ...
This paper presents a novel approach for robust 3D tracking of multiple birds in an outdoor aviary...
This article methodologically reflects on how social media scholars can effectively engage with sp...
Hemodialysis patients who are on donor lists for kidney transplant may get misidentified, delaying...
Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterize...
AIM: This study aimed to explore the mechanisms of transient receptor potential (TRP) channels on th...
Cancer survival rates in prepubertal girls and young women have risen in recent decades due to incre...