Transplantation

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

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CIAA: Integrated Proteomics and Structural Modeling for Understanding Cysteine Reactivity with Iodoacetamide Alkyne.

Cysteine residues play key roles in protein structure and function and can serve as targets for chem...

Deep learning-based contour propagation in magnetic resonance imaging-guided radiotherapy of lung cancer patients.

Fast and accurate organ-at-risk (OAR) and gross tumor volume (GTV) contour propagation methods are n...

Severe community-acquired pneumonia (sCAP): advances in management and future directions.

Severe community-acquired pneumonia (sCAP) is a major global health challenge, with high morbidity a...

Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704.

Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...

Deep learning analyses of splicing variants identify the link of PCP4 with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacki...

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption.

The demand for precisely tailorable mechanical parameters of energy-absorbing structures is emerging...

Logistic regression exploration of host-dopant compatibility in MR-TADF-based OLEDs.

The process of selecting an optimal host material for organic light-emitting diodes (OLEDs) based on...

Predicting Primary Graft Dysfunction in Systemic Sclerosis Lung Transplantation Using Machine-Learning and CT Features.

INTRODUCTION: Primary graft dysfunction (PGD) is a significant barrier to survival in lung transplan...

The Interplay of Cross-Organ Immune Regulation in Inflammation and Cancer.

Organs dynamically interact with each other through immunomodulation to create a systemic immune res...

Hybridization in Meat-Based Dual Protein Foods: Mechanisms, Challenges, and Consumer Insights.

As the global demand for protein-rich foods continues to rise, developing innovative solutions to en...

Liver Fat Fraction and Machine Learning Improve Steatohepatitis Diagnosis in Liver Transplant Patients.

Machine learning identifies liver fat fraction (FF) measured by H MR spectroscopy, insulinemia, and ...

Intuitive judgements towards artificial intelligence verdicts of moral transgressions.

Automated decision-making systems have become increasingly prevalent in morally salient domains of s...

Ultra-low-power System-on-Chip for automated screening of central apnea and hypopnea via chin electromyography.

Central Apnea (CA) and Central Hypopnea (CH) are sleep disorders arising from the brain's inability ...

Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies.

BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for ...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

Pancreas segmentation in CT scans: A novel MOMUNet based workflow.

Automatic pancreas segmentation in CT scans is crucial for various medical applications, including e...

Mesenchymal stem cell transplantation ameliorates inflammation in spinal cord injury by inhibiting lactylation-related genes.

BACKGROUND: The immune microenvironment significantly influences neural regeneration in spinal cord ...

Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning.

OBJECTIVES: Primary graft dysfunction (PGD) is an essential outcome after the heart transplant, whic...

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