Transplantation

Effect of Initial Graft Tension During Calcaneofibular Ligament Reconstruction on Ankle Kinematics and Laxity.

BACKGROUND: Although a variety of surgical procedures for lateral ankle ligament reconstruction have...

Re: Pediatric Robot-Assisted Redo Pyeloplasty with Buccal Mucosa Graft: A Novel Technique.

Robotic Donor Nephrectomy: Against.

The use of robotic techniques in laparoscopic donor nephrectomy currently tends to involve a longer ...

Machine Learning Approach to Predicting Stem Cell Donor Availability.

The success of unrelated donor stem cell transplants depends on not only finding genetically matched...

Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.

BACKGROUND: Manual contouring remains the most laborious task in radiation therapy planning and is a...

Editorial Comment on: Learning Curves and Timing of Surgical Trials: Robotic Kidney Transplantation with Regional Hypothermia by Ahlawat et al. (From: Ahlawat RK, Tugcu V, Arora S, et al. J Endourolo 2018;32:1160-1165; DOI: 1089/end.2017.0697).

Effect of Hepatitis C Treatment on Renal Function in Liver Transplant Patients.

Hepatitis C Virus (HCV) is uniformly recurrent after liver transplant (LT) and recurrence is associ...

Long-term Glomerular Filtration Rate and Kidney Disease: Improving Global Outcomes Stage Stability After Conversion to Once-Daily Tacrolimus in Kidney Transplant Recipients.

Close monitoring of estimated glomerular filtration rate (eGFR) is important for early recognition o...

Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections.

Transplantable kidneys are in very limited supply. Accurate viability assessment prior to transplant...

Artificial Intelligence Approaches in Hematopoietic Cell Transplantation: A Review of the Current Status and Future Directions.

The evidence-based literature on healthcare is currently expanding exponentially. The opportunities ...

Inhalable Fucoidan Microparticles Combining Two Antitubercular Drugs with Potential Application in Pulmonary Tuberculosis Therapy.

The pulmonary delivery of antitubercular drugs is a promising approach to treat lung tuberculosis. T...

Fully automated, real-time 3D ultrasound segmentation to estimate first trimester placental volume using deep learning.

We present a new technique to fully automate the segmentation of an organ from 3D ultrasound (3D-US)...

The Relationship between Robot's Nonverbal Behaviour and Human's Likability Based on Human's Personality.

At current state, although robotics technology has been immensely developed, the uncertainty to comp...

Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

PURPOSE: Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowe...

Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.

Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biol...

A cure-rate model for Q-learning: Estimating an adaptive immunosuppressant treatment strategy for allogeneic hematopoietic cell transplant patients.

Cancers treated by transplantation are often curative, but immunosuppressive drugs are required to p...

Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsia.

Preeclampsia is a pregnancy associated disease. It is characterized by high blood pressure and sympt...

Artificial intelligence improves estimation of tacrolimus area under the concentration over time curve in renal transplant recipients.

Effects of Proud Large Osteochondral Plugs on Contact Forces and Knee Kinematics: A Robotic Study.

BACKGROUND: Osteochondral allograft (OCA) transplantation is used to treat large focal femoral condy...

Autonomous Magnetic Microrobots by Navigating Gates for Multiple Biomolecules Delivery.

The precise delivery of biofunctionalized matters is of great interest from the fundamental and appl...

Linking of single-molecule experiments with molecular dynamics simulations by machine learning.

Single-molecule experiments and molecular dynamics (MD) simulations are indispensable tools for inve...