Transplantation

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

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Arch-Net: Model conversion and quantization for architecture agnostic model deployment.

The significant computational demands of Deep Neural Networks (DNNs) present a major challenge for t...

DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications.

Resource recovery from textile wastewater has attracted increasing interest because it simultaneousl...

Charge transfer at air-water interfaces: A machine learning potential-based molecular dynamics study.

Water at interfaces plays a crucial role in many natural processes and industrial applications. Howe...

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...

Band Gap and Reorganization Energy Prediction of Conducting Polymers by the Integration of Machine Learning and Density Functional Theory.

The performance and reliability of machine learning (ML)-quantitative structure-property relationshi...

Advancements in Organoid-Based Drug Discovery: Revolutionizing Precision Medicine and Pharmacology.

Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing...

Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing.

This research presents an enhanced predictive model for green sand casting, designed to tackle the n...

Transcriptome Derived Artificial neural networks predict PRRC2A as a potent biomarker for epilepsy.

Epilepsy refers to the occurrence of two or more than two reiterative seizures. The occurrence of se...

Machine Learning for Predicting Waitlist Mortality in Pediatric Heart Transplantation.

BACKGROUND: Waitlist mortality remains a critical issue for pediatric heart transplant (HTx) candida...

Paving the way for bacteria-based drug delivery: biohybrid microrobots emerging from microrobotics and synthetic biology.

Advances in microrobotics and synthetic biology are paving the way for innovative solutions to long-...

Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution.

The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problem...

Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes.

In this study, we propose a conceptual framework of decision support tools, built upon machine learn...

Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection.

PURPOSE OF REVIEW: The objective of this review is to provide an update on the application of artifi...

Fast Virtual Stenting for Thoracic Endovascular Aortic Repair of Aortic Dissection Using Graph Deep Learning.

Fast virtual stenting (FVS) is a promising preoperative planning aid for thoracic endovascular aorti...

Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images.

Microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is a crucial histopathologic prognost...

ISGAN: Unsupervised Domain Adaptation With Improved Symmetric GAN for Cross-Modality Multi-Organ Segmentation.

The differences between cross-modality medical images are significant, so several studies are workin...

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