Latest AI and machine learning research in transplantation for healthcare professionals.
The subcutaneous administration of therapeutic peptides would provide significant benefits to patients. However, subcutaneous injections are limited in dosing volume, potentially resulting in high peptide concentrations that can incur significant challenges with solubility limitations, high viscosity, and stability liabilities. Herein, we report on the discovery that low-shear resonant acoustic mi...
PURPOSE OF THE STUDY: The purpose of this study was to assess the association of measured glomerular filtration rate (mGFR) using camera-based method with early transplant outcomes.
Although robotic-assisted surgery has the advantages of low patient burden and high precision without unsteady hand movements, the lack of tactile sen...
Congenital cholesteatoma accounts for 25% of cholesteatoma cases in children. Transcanal Endoscopic Ear Surgery (TEES) is ideal for these patients bec...
Rehabilitation robots are used to promote structural and functional recovery of the nervous system with repetitive, task-oriented training and have be...
In a first-of-its-kind study, we assessed the capabilities of large language models (LLMs) in making complex decisions in haematopoietic stem cell tra...
Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-spe...
Epithelial mechanics and mechanobiology have become 2 important research fields in life sciences and bioengineering. These fields investigate how phys...
Immune therapy for cancer patients is a new and promising area that in the future may complement traditional chemotherapy. The cell expansion phase is...
OBJECTIVES: fenestration of stent-graft (IVFS) demands high-precision navigation methods to achieve optimal surgical outcomes. This study aims to pro...
Inflammation is a biological response to harmful stimuli, aiding in the maintenance of tissue homeostasis. However, excessive or persistent inflammati...
Pregnant women have a number of physiological changes that lower the immune responses to avoid embryonic rejection, which increases the risk of proble...
[This retracts the article DOI: 10.1155/2022/3399892.].
OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material segmentation after maxillary sinus augmentation (...
BACKGROUND & AIMS: The Banff Liver Working Group recently published consensus recommendations for steatosis assessment in donor liver biopsy, but few ...
Bioherbicides offer many potential benefits as part of an integrated weed management system or a totally biological or organic cropping system. A key ...
In this study, we aim to develop a machine learning model to predict the level of coordination between two players in tacit coordination games by anal...
Underwater vehicle-manipulator system (UVMS) is a commonly used underwater operating equipment. Its control scheme has been the focus of control resea...
Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology with the power of artificial intelligence. Organo...