Transplantation

Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.

Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized ...

Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) for...

Robot-assisted donor hysterectomy in uterus transplantation - a modality to increase reproducibility.

Uterus transplantation is a non-lifesaving vascularized composite allotransplantation procedure requ...

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.

Characterizing the human leukocyte antigen (HLA) bound ligandome by mass spectrometry (MS) holds gre...

Outcomes of robotic coronary artery bypass versus nonrobotic coronary artery bypass.

BACKGROUND: Robotic coronary artery bypass graft (CABG) has developed in recent decades, however, pr...

Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.

Biological experiments based on organ-on-chips (OOCs) exploit light Time-Lapse Microscopy (TLM) for ...

A novel underwater bipedal walking soft robot bio-inspired by the coconut octopus.

In order to increase the compatibility between underwater robots and the underwater environment and ...

Augmentation cystoplasty in children with stages III and IV chronic kidney disease secondary to neurogenic bladder.

OBJECTIVE: This study examines the outcome of augmentation cystoplasty (AC) in children with stages ...

Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation.

Kidney volume is an essential biomarker for a number of kidney disease diagnoses, for example, chron...

The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients.

Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to ...

An artificial neural network-pharmacokinetic model and its interpretation using Shapley additive explanations.

We developed a method to apply artificial neural networks (ANNs) for predicting time-series pharmaco...

Detecting adaptive introgression in human evolution using convolutional neural networks.

Studies in a variety of species have shown evidence for positively selected variants introduced into...

Improvement of Neoantigen Identification Through Convolution Neural Network.

Accurate prediction of neoantigens and the subsequent elicited protective anti-tumor response are pa...

Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation.

Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the in...

State-of-the-art machine learning improves predictive accuracy of 1-year survival after heart transplantation.

Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning.

Delayed graft function (DGF) is a strong risk factor for development of interstitial fibrosis and tu...

Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels.

Training deep ConvNets requires large labeled datasets. However, collecting pixel-level labels for m...

Exploring the relationship between the dielectric properties and viability of human normal hepatic tissues from 10 Hz to 100 MHz based on grey relational analysis and BP neural network.

Liver is an important parenchyma organ, and its tissue viability plays an important role in liver tr...

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks.

Abdominal anatomy segmentation is crucial for numerous applications from computer-assisted diagnosis...

Male pelvic multi-organ segmentation on transrectal ultrasound using anchor-free mask CNN.

PURPOSE: Current prostate brachytherapy uses transrectal ultrasound images for implant guidance, whe...

Can robot-assisted kidney transplantation provide higher quality of life than open kidney transplantation during the early postoperative period?

PURPOSE: Purpose of this study is to investigate the quality of life (QoL) in patients with end-stag...