Transplantation

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

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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view.

This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique ...

Evaluating Mandarin tone pronunciation accuracy for second language learners using a ResNet-based Siamese network.

Evaluating tone pronunciation is essential for helping second-language (L2) learners master the intr...

An intelligent tactile imaging-recognition sensor system enabled a methoxynitrobenzene-salicylaldehyde fluorescent material.

Tactile sensors utilizing functional materials decode surface textures for object recognition. Herei...

Current and future applications of robotics in structural heart interventions.

Robotics entered the cardiovascular field in the late 1990s with a robot-assisted coronary artery by...

Developing a Machine Learning Model for Hydrogen Bond Acceptance Based on Natural Bond Orbital Descriptors.

This study employs machine learning (ML) to assess the predictive power of electronic descriptors de...

A transfer learning based deep neural network adaptive controller for the Furuta pendulum subject to uncertain disturbance signals.

In this study, a control algorithm that integrates a Deep Neural Network (DNN) adaptive control arch...

Machine learning-based prediction of G-CSF-induced hematopoietic stem cell mobilization outcomes in healthy volunteers.

Haematopoietic stem cell transplantation (HSC-T) has been established as a fundamental therapeutic i...

Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.

Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...

Peripheral HLA-DRCD141 Classical Monocytes Predict Relapse Risk and Worsening in Multiple Sclerosis.

BACKGROUND AND OBJECTIVES: Multiple sclerosis (MS) is an immune-mediated demyelinating disease of th...

Okra disease dataset for classification and segmentation: Dataset collection, analysis and applications.

The early diagnosis of okra leaf diseases is crucial for maintaining crop health and ensuring high a...

Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.

Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it ...

Folate metabolism-associated CYP26A1 is a clinico-immune target in colorectal cancer.

Folic acid plays a crucial role in cellular regulation and metabolism, commonly included in dietary ...

Toward developing a compact total artificial heart using a soft robotic fluidic transmission system.

Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplanta...

Stochastic Orientational Encoding via Hydrogen Bonding Driven Assembly of Woven-Like Molecular Physically Unclonable Functions.

The prevention of counterfeiting and the assurance of object authenticity require stochastic encodin...

Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation.

Delineation of multiple organs in murine µCT images is crucial for preclinical studies but requires ...

Differential Phase Contrast Imaging to Predict MSC Immune Function.

Mesenchymal stromal cells (MSCs) exhibit significant immunomodulatory potential, making them promisi...

Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining.

We present a panel of virtual staining neural networks for lung and heart transplant biopsies, prov...

Benford's Law in histology.

Digital pathology is an emerging field that is gaining popularity due to its numerous advantages ove...

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