Transplantation

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

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Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens.

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immuno...

Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.

BACKGROUND & AIMS: Many clinical questions, such as estimating survival differences between living d...

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable...

Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...

Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges.

Lithium-based batteries (LiBs) are integral components in operating electric vehicles to renewable e...

Estimation of postmortem interval under different ambient temperatures based on multi-organ metabolomics and machine learning algorithm.

In forensic practice, the estimation of postmortem interval has been a persistent challenge. Recentl...

Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation.

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) faci...

MultiOmicsAgent: Guided Extreme Gradient-Boosted Decision Trees-Based Approaches for Biomarker-Candidate Discovery in Multiomics Data.

MultiOmicsAgent (MOAgent) is an innovative, Python-based open-source tool for biomarker discovery, u...

Inorganic Biomaterials Inducing Scaffolds Pre-Neuralization for Infarcted Myocardium Repair.

Neural networks are found to play an important role in monitoring and coordinating cardiac physiolog...

Integrative Machine Learning Approach to Explore Glycosylation Signatures and Immune Landscape in Moyamoya Disease.

Moyamoya disease (MMD) is a rare, chronic cerebrovascular disorder of uncertain etiology. Although a...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

A Three-Dimensional Phenotype Extraction Method Based on Point Cloud Segmentation for All-Period Cotton Multiple Organs.

Phenotypic data of cotton can accurately reflect the physiological status of plants and their adapta...

Ultrasound Diagnosis of Pelvic Organ Prolapse Using Artificial Intelligence.

The aim of this study was to design a fully automated hybrid AI-based method, combining a convoluti...

The Role of Artificial Intelligence in Chronic Liver Diseases and Liver Transplantation.

In hepatology, pattern recognition in laboratory data and clinical characteristics is the hallmark o...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advance...

A Machine Learning Method for Predicting Acute Kidney Injury in Patients with Intracranial Hemorrhage.

Intracranial hemorrhage (ICH) is a critical and urgent condition in clinical practice. Recent resear...

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