Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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Showing 1639-1659 of 10,050 articles
Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.

For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...

Aug 2021 34350827
Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period.

Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatme...

Aug 2021 34342503
Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (...

Jul 2021 34297718
A deep learning approach to quantify auditory hair cells.

Hearing loss affects millions of people worldwide. Yet, there are still no curative therapies for se...

Jul 2021 34343849
Study on the graft modification mechanism of macroporous silica gel surface based on silane coupling agent vinyl triethoxysilane.

In this research, the graft modification mechanism of coupling agent vinyl triethoxysilane (KH-151) ...

Jul 2021 35478923
Robot-assisted Kidney Transplantation.

This paper describes robot-assisted kidney transplantation (RAKT) from a living donor. The robot is ...

Jul 2021 34338681
Dual-Organ Transcriptomic Analysis of Rainbow Trout Infected With Through Co-Expression and Machine Learning.

is a major pathogen that causes a high mortality rate in trout farms. However, systemic responses t...

Jul 2021 34305907
An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation.

Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...

Jul 2021 34305931
Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.

One essential step in radiotherapy treatment planning is the organ at risk of segmentation in Comput...

Jul 2021 34283090
Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.

Combining microfluidics technology with machine learning represents an innovative approach to conduc...

Jun 2021 34193899
State-of-the-art machine learning algorithms for the prediction of outcomes after contemporary heart transplantation: Results from the UNOS database.

PURPOSE: We sought to develop and validate machine learning (ML) models to increase the predictive a...

Jun 2021 34155697
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in t...

Jun 2021 34215564
Interobserver variability in organ at risk delineation in head and neck cancer.

BACKGROUND: In radiotherapy inaccuracy in organ at risk (OAR) delineation can impact treatment plan ...

Jun 2021 34183040
A machine learning approach for the prediction of overall deceased donor organ yield.

BACKGROUND: Optimizing organ yield (number of organs transplanted per donor) is a potentially modifi...

Jun 2021 34183178
Robot-assisted kidney transplantation is a safe alternative approach for morbidly obese patients with end-stage renal disease.

BACKGROUND: Many centres deny obese patients with a body mass index (BMI) >35 access to kidney trans...

Jun 2021 34080270
Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning.

Cardiometabolic diseases are an increasing global health burden. While socioeconomic, environmental,...

Jun 2021 34128465
Coronary vessel detection methods for organ-mounted robots.

BACKGROUND: HeartLander is a tethered robot walker that utilizes suction to adhere to the beating he...

Jun 2021 34081821
In Vitro Assessment for Dose Preparation and Simulated Administration of Azithromycin Suspensions via Enteral Feeding Tubes.

Administration of medication via enteral feeding tubes (EFT) is common in cases where patients are u...

Jun 2021 35601710
Combining generative artificial intelligence and on-chip synthesis for de novo drug design.

Automating the molecular design-make-test-analyze cycle accelerates hit and lead finding for drug di...

Jun 2021 34117066
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