Transplantation

CNN-PepPred: an open-source tool to create convolutional NN models for the discovery of patterns in peptide sets-application to peptide-MHC class II binding prediction.

SUMMARY: The ability to unveil binding patterns in peptide sets has important applications in several biomedical areas, including the development of vaccines. We present an open-source tool, CNN-PepPred, that uses convolutional neural networks to discover such patterns, along with its application to peptide-HLA class II binding prediction. The tool can be used locally on different operating system...

Robot-assisted kidney transplantation: State of art.

OBJECTIVES: Nowadays, Robotic assistedkidney transplantation (RAKT) is considered a lessinvasive alternative to the Open Kidney Transplantation(OKT) with several advantages such as image magnification,3D vision and articulated instruments and with arelatively short learning curve for an experienced surgeon.RAKT has shown comparable outcomes with theOKT literature data in terms of surgical and func...

Impact of oocyte donor age and breed on embryo production in cattle, and relationship of dairy and beef embryo recipients on pregnancy and the subsequent performance of offspring: A review.

Genomic selection combined with in vitro embryo production (IVEP) with oocytes from heifer calves provides a powerful technology platform to reduce ge...

Digital surgery for gastroenterological diseases.

Advances in machine learning, computer vision and artificial intelligence methods, in combination with those in processing and cloud computing capabil...

DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads.

Detecting cancer signals in cell-free DNA (cfDNA) high-throughput sequencing data is emerging as a novel noninvasive cancer detection method. Due to t...

Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen.

Organ segmentation, chest radiograph classification, and lung and liver nodule detections are some of the popular artificial intelligence (AI) tasks i...

Deep learning based timing calibration for PET.

Neural network has been found an increasingly wide utilization in all fields. Owing to the fact that the traditional optimized algorithm, Iterative Sh...

Kidney Allocation Policy: Past, Present, and Future.

Despite an increase in the number of kidney transplants performed annually, there remain more than 90,000 individuals awaiting transplantation in the ...

Predictive Value of Immune Cell Functional Assay for Non-Cytomegalovirus Infection in Lung Transplant Recipients: A Multicenter Prospective Observational Study.

INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the state of cellular immunity in immunosuppressed patie...

Therapeutic monitoring of mycophenolic acid in renal transplanted patients by a validated HPLC method.

INTRODUCTION: Mycophenolate mofetil and its active metabolite mycophenolic acid are routinely used as immunosuppressant drugs in solid organ transplan...

Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

This article describes the results of feature extraction from unstructured medical records and prediction of postoperative complications for patients ...

Commentary on Robotically Assisted Recipient Site Preparation in Hair Restoration Surgery: Surgical Safety and Clinical Outcomes in 31 Consecutive Patients.

[Research on Self-perception and Active Warning Model of Medical Equipment Operation and Maintenance Status Based on Machine Learning Algorithm].

The panoramic perception of medical equipment operation and maintenance status is the basic guarantee for the implementation of smart medical care, th...

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab experiments. The study aims to evaluate the perform...

Efficacy and safety of a switch from twice-daily tacrolimus to once-daily generic tacrolimus in stable liver transplant patients.

BACKGROUND: Once-daily tacrolimus reduces non-compliance relative to twice-daily tacrolimus. However, little is known about the safety and efficacy of...

Predicting Kidney Discard Using Machine Learning.

BACKGROUND: Despite the kidney supply shortage, 18%-20% of deceased donor kidneys are discarded annually in the United States. In 2018, 3569 kidneys w...

Robotic Female Radical Cystectomy.

Radical cystectomy is the standard of care for patients with nonmetastatic high-risk bladder cancer. Robotic approach to radical cystectomy has been d...

[Interactions between radical prostatovesiculectomy and diagnosis of prostate cancer : A medical-historical inventory on the occasion of 20 years of robot-assisted treatment].

The question of what came first-in this case the diagnosis of prostate cancer or its therapy-seems absurd at first glance and is reminiscent of the cl...

Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.

The potential of artificial intelligence (AI) applied to clinical data from electronic health records (EHRs) to improve early detection for pancreatic...

The current state of artificial intelligence in cardiac transplantation.

PURPOSE OF REVIEW: The field of heart transplantation is a complex practice that combines both science and art to optimize the quality and quantity of...