Transplantation

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

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UnZipLoRA: Separating Content and Style from a Single Image

This paper introduces UnZipLoRA, a method for decomposing an image into its constituent subject an...

Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This rea...

Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch

Pathological cell semantic segmentation is a fundamental technology in computational pathology, es...

MedTet: An Online Motion Model for 4D Heart Reconstruction

We present a novel approach to reconstruction of 3D cardiac motion from sparse intraoperative data...

[LORENZO'S OIL AND ADRENOLEUKODYSTROPHY EXAMINING AN ARTIFICIAL INTELLIGENCE TOOL INTENDED FOR CONDUCTING LITERATURE SEARCHES AND ANALYSES].

Adrenoleukodystrophy is a genetic metabolic disorder characterized by a heterogeneous phenotype. Its...

Dec 2024 39692366
MSA-MaxNet: Multi-Scale Attention Enhanced Multi-Axis Vision Transformer Network for Medical Image Segmentation.

Convolutional neural networks (CNNs) are well established in handling local features in visual tasks...

Dec 2024 39706821
Predictive Capacities of a Machine Learning Decision Tree Model Created to Analyse Feasibility of an Open or Robotic Kidney Transplant.

BACKGROUND: Machine learning has emerged as a potent tool in healthcare. A decision tree model was b...

Dec 2024 39716399
Open-source Polymer Generative Pipeline

Polymers play a crucial role in the development of engineering materials, with applications rangin...

Live-Donor Kidney Transplant Outcome Prediction (L-TOP) using artificial intelligence.

BACKGROUND: Outcome prediction for live-donor kidney transplantation improves clinical and patient d...

Nov 2024 38684469
Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine

Traditional Chinese Medicine (TCM) involves complex compatibility mechanisms characterized by mult...

Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding

In recent years, text-to-image (T2I) generation models have made significant progress in generatin...

High-dimensional Immune Profiles and Machine Learning May Predict Acute Myeloid Leukemia Relapse Early following Transplant.

Identification of early immune signatures associated with acute myeloid leukemia (AML) relapse follo...

Nov 2024 39373568
Artificial intelligence enabled interpretation of ECG images to predict hematopoietic cell transplantation toxicity.

Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...

Nov 2024 39158065
Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling

The left ventricular end-systolic pressure-volume relationship (ESPVr) is a key indicator of cardi...

Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge.

Deep learning has shown great potential to automate abdominal organ segmentation and quantification....

Nov 2024 39455194
Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with infection: a single-centred retrospective study.

() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...

Nov 2024 39606806
Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis

Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learni...

A discrete event simulator for policy evaluation in liver allocation in Eurotransplant

We present the ELAS simulator, a discrete event simulator built for the Eurotransplant (ET) Liver ...

Neural Contrast: Leveraging Generative Editing for Graphic Design Recommendations

Creating visually appealing composites requires optimizing both text and background for compatibil...

Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference

Personalized outfit recommendation remains a complex challenge, demanding both fashion compatibili...

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