Transplantation

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.

Characterizing the human leukocyte antigen (HLA) bound ligandome by mass spectrometry (MS) holds great promise for developing vaccines and drugs for immune-oncology. Still, the identification of non-tryptic peptides presents substantial computational challenges. To address these, we synthesized and analyzed >300,000 peptides by multi-modal LC-MS/MS within the ProteomeTools project representing HLA...

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

BACKGROUND: Robotic coronary artery bypass graft (CABG) has developed in recent decades, however, prior studies showed conflicting result of robotic CABG compared to nonrobotic CABG in terms of mortality, morbidity, and cost. Herein, we sought to analyze the in-hospital outcomes and health care utilization after robotic CABG compared to nonrobotic CABG, based on data from a nationally representati...

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 direct observation of cell movement that is an o...

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 inspired by the coconut octopus's underwater biped...

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 III and IV chronic kidney disease (CKD) secondary ...

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, chronic kidney disease. Existing total kidney volume es...

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 predict critical conditions such as hemodynamic in...

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 pharmacokinetics (PKs), and an interpretable the ANN-PK mo...

A deep learning model for detection and tracking in high-throughput images of organoid.

Organoid, an in vitro 3D culture, has extremely high similarity with its source organ or tissue, which creates a model in vitro that simulates the in ...

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 a population via introgression from another, dist...

Improvement of Neoantigen Identification Through Convolution Neural Network.

Accurate prediction of neoantigens and the subsequent elicited protective anti-tumor response are particularly important for the development of cancer...

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 increasing number of recipients and the small amount...

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 tubular atrophy (IFTA) in kidney transplants. Quanti...

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

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 transplantation and liver ischemic injury assessment...

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 medical image segmentation is very expensive and re...

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

Abdominal anatomy segmentation is crucial for numerous applications from computer-assisted diagnosis to image-guided surgery. In this context, we addr...

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

PURPOSE: Current prostate brachytherapy uses transrectal ultrasound images for implant guidance, where contours of the prostate and organs-at-risk are...

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-stage renal disease who underwent open or robot-assist...

Application of Design of Experiments® Approach-Driven Artificial Intelligence and Machine Learning for Systematic Optimization of Reverse Phase High Performance Liquid Chromatography Method to Analyze Simultaneously Two Drugs (Cyclosporin A and Etodolac) in Solution, Human Plasma, Nanocapsules, and Emulsions.

The objectives of current investigation are (1) to find out wavelength of maximum absorbance (λ) for combined cyclosporin A and etodolac solution foll...