Latest AI and machine learning research in transplantation for healthcare professionals.
BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a potential strategy to alleviate workload and support care processes in response to demographic changes and staffing shortages. However, the acceptance of nursing staff as primary end users remains a critical determinant for successful implementation. Despite technological advances, the practical req...
PURPOSE: Can an explainable machine learning-assisted approach uncover data and prediction trends to select the most transparent model for live birth in autologous ICSI cycles? DESIGN: A retrospective multicenter cohort study (January 2011-December 2023) included 8,066 patients. Only single autologous ICSI cycles using fresh oocytes and donor or patient sperm (fresh or frozen) were included. A tot...
Intraoperative hypotension (IOH) is a frequent occurrence during noncardiac surgery. Hypotensive episodes can compromise tissue perfusion, and cumulat...
High-entropy materials (HEMs) represent a paradigm shift in developing efficient components of proton exchange membrane fuel cells/water electrolysis ...
Predicting the interactions between piRNA sequences and mRNA sequences is central to understanding post-transcriptional regulation in the germline and...
Personalized cancer vaccines have re-emerged as a promising strategy in precision immunotherapy, driven by advances in tumor sequencing, neoantigen id...
Human leukocyte antigen class I (HLA-I) molecules are central to immunosurveillance, and accurate prediction of peptide-HLA-I binding is critical for ...
INTRODUCTION: Liver MRI plays a critical role in the diagnosis and monitoring of liver disease; however, image quality is often degraded by respirator...
Spiking neural networks (SNNs) represent a promising approach in machine learning, combining the hierarchical learning capabilities of deep neural net...
Ferroptosis, a regulated form of cell death, plays a critical role in renal tubular epithelial cells during acute kidney injury (AKI). Scoparone, a bi...
Prostate cancer (PCa) is among the most prevalent malignancies affecting men globally. The immunosuppressive characteristics of the tumor microenviron...
We report a novel approach of robotic-assisted, minimally invasive biventricular assist device (BiVAD) implantation using HeartMate 3 in a 61-year-old...
As a primary method for tissue repair and functional reconstruction, flap transplantation has achieved a clinical success rate of over 90%. However, t...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and lethal malignancy, with its complex tumor microenvironment (TME) severely...
Soil organic carbon (SOC) is an important indicator of soil health and productivity in agricultural and natural ecosystems. Conventional measurement t...
This study suggests a new analysis pipeline of MEG data, uniquely designed for neural decoding of small-sized datasets. It combines classic methods th...
Appropriately pairing dispersants and solvents and tuning processing conditions yield high-quality, stable carbon nanotube (CNT) dispersions; however,...
Artificial neural networks set the pace in machine vision, natural language processing, and scientific discovery, but their performance depends on fas...
Aside from recent advances in artificial intelligence (AI) models, specialized AI hardware is crucial for addressing large volumes of unstructured and...
Tumor-associated macrophages (TAMs) are one of the main immunosuppressive components in the tumor microenvironment (TME). Growing evidence indicates t...