Latest AI and machine learning research in transplantation for healthcare professionals.
The restoration of voluntary muscle activity in posttraumatic paraplegia in both animal experiments and other clinical applications requires reproducibility of a technically-demanding microsurgical procedure, limited by physicians' understanding of Brunelli's spinal cord grafting paradigm. The insufficient clinical investigation of the long-term benefits of the CNS-PNS graft application warrants a...
Allogeneic hematopoietic stem cell transplantation (AHSCT) is a major method of treatment for different hematologic and congenital disease. Graft versus host disease (GvHD) is a life-threatening adverse effect of AHSCT. Cyclosporine is the most important and common agent for GvHD prophylaxis. Because of variable and unpredictable pharmacokinetics of cyclosporine that produces different responses i...
Accurate segmentation of specific organ from computed tomography (CT) scans is a basic and crucial task for accurate diagnosis and treatment. To avoid...
To what extent is current clinical practice capable of gathering relevant patient data, observing them and giving them adequate information back? To w...
Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral mucosae and often reoccurs intermittently. Chylot...
INTRODUCTION Flow cytometry allows immunophenotypic characterization of important lymphocyte subpopulations for diagnosis of diseases such as cancer, ...
Classification of plants based on a multi-organ approach is very challenging. Although additional data provide more information that might help to dis...
Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) currently involves simplification of complex time-serie...
Owing to the increasing demand for rehabilitation services, robotics have been engaged in addressing the drawbacks of conventional rehabilitation ther...
MOTIVATION: Alternative splice site selection is inherently competitive and the probability of a given splice site to be used also depends on the stre...
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...
BACKGROUND: Immunosuppressant Bayesian dose adjustment (ISBA) is an online expert system, routinely used by approximately 140 transplantation centers ...
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanis...
The analysis of proteomics data can be significantly challenging. Beyond the technical challenges of accurately identifying and quantifying peptides, ...
Predictive models can support physicians to tailor interventions and treatments to their individual patients based on their predicted response and ris...
OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal transplant recipients and to assess sociodemograp...
AIM: Determination of the effect of varying fenestration technique, and simulated patch graft on outflow facility for Baerveldt tube.
RATIONALE: Thrombosis due to anastomotic site stenosis is the most common complication in patients with brachio-axillary arteriovenous graft (AVG). In...
OBJECTIVES: Kidney transplantation supports patients with end-stage kidney diseases. Many factors control the allograft function in kidney transplant ...