Transplantation

LigVoxel: inpainting binding pockets using 3D-convolutional neural networks.

MOTIVATION: Structure-based drug discovery methods exploit protein structural information to design ...

Evaluation of Cyclosporine Pharmacokinetic, Monitoring, and Dosing Parameters for GVHD Prophylaxis in Hematopoietic Stem Cell Transplant (HSCT) Recipients.

Allogeneic hematopoietic stem cell transplantation (AHSCT) is a major method of treatment for differ...

Regeneration of Denervated Skeletal Muscles - Brunelli's CNS-PNS Paradigm.

The restoration of voluntary muscle activity in posttraumatic paraplegia in both animal experiments ...

GIDB: a knowledge database for the automated curation and multidimensional analysis of molecular signatures in gastrointestinal cancer.

Gastrointestinal (GI) cancer is common, characterized by high mortality, and includes oesophagus, ga...

Results of a Literature Review to Prepare Data Modelling in the Context of Kidney Transplant Rejection Diagnosis.

Due to demographic change the number of serious kidney diseases and thus required transplantations w...

Estimating Normal Values of Rare T-Lymphocyte Populations in Peripheral Blood of Healthy Cuban Adults.

INTRODUCTION Flow cytometry allows immunophenotypic characterization of important lymphocyte subpopu...

Treatment of Chylothorax with Pleurodesis (A Lesser Known Complication of Behçet's Disease): A Case Report.

Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral...

[Neurological contact.].

To what extent is current clinical practice capable of gathering relevant patient data, observing th...

Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks.

Accurate segmentation of specific organ from computed tomography (CT) scans is a basic and crucial t...

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks.

Classification of plants based on a multi-organ approach is very challenging. Although additional da...

Neural Networks for Prognostication of Patients With Heart Failure.

Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) curre...

A hybrid active force control of a lower limb exoskeleton for gait rehabilitation.

Owing to the increasing demand for rehabilitation services, robotics have been engaged in addressing...

COSSMO: predicting competitive alternative splice site selection using deep learning.

MOTIVATION: Alternative splice site selection is inherently competitive and the probability of a giv...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to c...

Pharmacokinetic Therapeutic Drug Monitoring of Advagraf in More Than 500 Adult Renal Transplant Patients, Using an Expert System Online.

BACKGROUND: Immunosuppressant Bayesian dose adjustment (ISBA) is an online expert system, routinely ...

Artificial neural networks and liver transplantation: Are we ready for self-driving cars?

Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based ...

Outflow Facility in Tube Shunt Fenestration.

AIM: Determination of the effect of varying fenestration technique, and simulated patch graft on out...

Prevalence of latent Mycobacterium tuberculosis infection in renal transplant recipients.

OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal...

XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine.

Predictive models can support physicians to tailor interventions and treatments to their individual ...

Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

The analysis of proteomics data can be significantly challenging. Beyond the technical challenges of...