Transplantation

Kidney Transplantation

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

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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...

Text mining for case report articles on "peritoneal dialysis" from PubMed database.

INTRODUCTION: The number of published medical articles on peritoneal dialysis (PD) has been increasi...

A machine learning-derived angiogenesis signature for clinical prognosis and immunotherapy guidance in colon adenocarcinoma.

Colon adenocarcinoma (COAD) is one of the most prevalent malignancies worldwide and its prognosis is...

Context-aware data augmentation for enhanced speech command recognition in industrial environments.

In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel....

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis.

BACKGROUND: As the optimal treatment for end-stage renal disease, kidney transplantation has proven ...

Application of Metaheuristics for Optimizing Predictive Models in iHealth: A Case Study on Hypotension Prediction in Dialysis Patients.

Intradialytic hypotension (IDH) is a critical complication in patients with chronic kidney disease u...

Fusogenic Lipid Nanovesicles as Multifunctional Immunomodulatory Platforms for Precision Solid Tumor Therapy.

Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...

Dendritic cell-based microrobots for enhanced systemic antigen-specific immune tolerance.

Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...

Preparing for Vascular Surgery Board Certification: A Comparative Study Using Large Language Models.

Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...

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...

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...

Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However,...

Quantification of follicles in human ovarian tissue using image processing software and trained artificial intelligence†.

Cancer survival rates in prepubertal girls and young women have risen in recent decades due to incre...

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