Latest AI and machine learning research in transplantation for healthcare professionals.
BACKGROUND: Massive transfusion protocols are established in-hospital practices for managing haemorr...
OBJECTIVES: This paper presents an experimental numerical method for modeling and analyzing stochast...
BACKGROUND: This study introduces a data-driven deep learning framework for optimizing the extractio...
Endoscopic minimally invasive surgery relies on precise tissue video segmentation to avoid complicat...
BACKGROUND: Despite increased understanding of psoriasis pathogenesis, molecular classification of c...
BACKGROUND: Acute cellular rejection (ACR) remains a major cause of morbidity after heart transplant...
Here, we report on combining Random Forest (RF) classification with nanoprojectile secondary ion mas...
BACKGROUND: Injury to the ureter and bladder during minimally invasive hysterectomy remains a seriou...
The BBB remains a major obstacle to effective treatment of CNS disorders by limiting the entry of mo...
Bitterness, alongside sour, sweet, umami, and salty tastes, constitutes one of the five basic tastes...
Fanconi anemia (FA) is an inherited bone marrow failure syndrome with cancer predisposition. Most FA...
AIMS: This study aimed to predict post-transplant malignancy risks at multiple levels among lung tra...
Bronchopulmonary dysplasia (BPD) is a serious and often lethal complication of pre-term birth that t...
Multi-exponential fitting has long been the standard approach for luminescence decay analysis, not b...
BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy originating from the ...
Nanozymes are enzyme-mimicking nanomaterials that are promising for diverse biomedical applications;...
PURPOSE: Biocompatible collagen membranes (CM) are widely used in regenerative dentistry, particular...
BACKGROUND: Breast cancer is a leading cause of cancer-related mortality worldwide, with poor progno...
Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow b...
BACKGROUND AND OBJECTIVE: Gesture recognition based on surface electromyography (sEMG) has achieved ...
BACKGROUND: This study aimed to develop and validate a dynamic prediction model for acute kidney inj...