Transplantation

Robotically assisted hybrid coronary revascularization-Masterly technique but is it for the masses?

Hybrid coronary revascularization consists of left internal thoracic artery (LITA) graft to the left...

Machine learning-based survival prediction after heart transplantation.

Indocyanine Green Drives Computer Vision Based 3D Augmented Reality Robot Assisted Partial Nephrectomy: The Beginning of "Automatic" Overlapping Era.

Augmented reality robot-assisted partial nephrectomy (AR-RAPN) is limited by the need of a constant ...

Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues.

Biomedical research relies on identification and isolation of specific cell types using molecular bi...

Ranking patients on the kidney transplant waiting list based on fuzzy inference system.

BACKGROUND: Kidney transplantation is the best treatment for people with End-Stage Renal Disease (ES...

Nerve spare robot assisted laparoscopic prostatectomy with amniotic membranes: medium term outcomes.

dHACM is a source of factors including cytokines that allow anti-inflammatory and proliferative elem...

Laparoscopic donor and recipient hepatectomy followed by robot-assisted liver graft implantation in living donor liver transplantation.

Minimally invasive surgery has been introduced for liver transplantations. Although laparoscopic or ...

Effective prediction of short hydrogen bonds in proteins via machine learning method.

Short hydrogen bonds (SHBs), whose donor and acceptor heteroatoms lie within 2.7 Å, exhibit prominen...

HLA-SPREAD: a natural language processing based resource for curating HLA association from PubMed abstracts.

Extreme complexity in the Human Leukocyte Antigens (HLA) system and its nomenclature makes it diffic...

Interactive Deep Learning for Shelf Life Prediction of Muskmelons Based on an Active Learning Approach.

A pivotal topic in agriculture and food monitoring is the assessment of the quality and ripeness of ...

Robotic deep inferior epigastric perforator flap harvest in breast reconstruction.

INTRODUCTION: Reducing donor site morbidity after deep inferior epigastric artery perforator (DIEP) ...

Two-Step Registration on Multi-Modal Retinal Images via Deep Neural Networks.

Multi-modal retinal image registration plays an important role in the ophthalmological diagnosis pro...

Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization.

Polymeric membrane design is a multidimensional process involving selection of membrane materials an...

Successful Multidisciplinary Repair of Severe Bilateral Uretero-Enteric Stricture with Inflammatory Reaction Extending to the Left Iliac Artery, after Robotic Radical Cystectomy and Intracorporeal Ileal Neobladder.

Uretero-enteric anastomotic strictures (UES) after robot-assisted radical cystectomy (RARC) represen...

Robot-Assisted Laparoscopic Paravaginal Repair and Sacrocolpopexy in Patients With Pelvic Organ Prolapse.

OBJECTIVE: To evaluate the surgical effects of robotic paravaginal repair and sacrocolpopexy in pati...

Comparison of antibody response to SARS-CoV-2 after two doses of inactivated virus and BNT162b2 mRNA vaccines in kidney transplant.

BACKGROUND: Antibody response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a...

The effect of race coefficients on preemptive listing for kidney transplantation.

BACKGROUND: Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partial...

Assessing red blood cell deformability from microscopy images using deep learning.

Red blood cells (RBCs) must be highly deformable to transit through the microvasculature to deliver ...

Introducing robot-assisted laparoscopic donor nephrectomy after experience in retroperitoneal endoscopic approach: a matched propensity score analysis.

OBJECTIVES: To assess the safety and efficacy of introducing robotic-assisted laparoscopic donor nep...

Structural, functional and molecular pathogenesis of pelvic organ prolapse in patient and deficient mice.

Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis...

Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets.

Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosi...