Transplantation

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

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A Neural Network Finite Element Trileaflet Heart Valve Model Incorporating Multi-Body Contact.

The use of patient-specific computational modeling of cardiovascular diseases has become increasingl...

Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation.

PURPOSE: A major concern for patients undergoing facial transplantation relates to postoperative app...

uHAF: a unified hierarchical annotation framework for cell type standardization and harmonization.

SUMMARY: In single-cell transcriptomics, inconsistent cell type annotations due to varied naming con...

MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality.

BACKGROUND: Prekidney transplant evaluation routinely includes abdominal CT for presurgical vascular...

Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning.

OBJECTIVE: To develop an accurate method for converting dose-area product (DAP) to patient dose for ...

Detection and classification of glomerular lesions in kidney graft biopsies using 2-stage deep learning approach.

Acute allograft rejection in patients undergoing renal transplantation is diagnosed through histopat...

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait loci.

Cancer of unknown primary (CUP) constitutes between 2% and 5% of human malignancies and is among the...

High throughput variant libraries and machine learning yield design rules for retron gene editors.

The bacterial retron reverse transcriptase system has served as an intracellular factory for single-...

Donor-specific digital twin for living donor liver transplant recovery.

The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor ...

Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model.

BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challen...

How should artificial intelligence be used in breast screening? Women's reasoning about workflow options.

Studies show that breast screening participants are open to artificial intelligence (AI) in breast s...

The effectiveness, equity and explainability of health service resource allocation-with applications in kidney transplantation & family planning.

INTRODUCTION: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing ...

Advances in photocatalytic research on decarboxylative trifluoromethylation of trifluoroacetic acid and derivatives.

Trifluoromethylation stands as a pivotal technology in modern synthetic chemistry, playing an indisp...

Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD).

BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogene...

Transfer learning in ECG diagnosis: Is it effective?

The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labe...

Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish.

INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...

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