Transplantation

Heart Transplantation

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

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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...

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...

DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications.

Resource recovery from textile wastewater has attracted increasing interest because it simultaneousl...

Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing.

This research presents an enhanced predictive model for green sand casting, designed to tackle the n...

Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution.

The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problem...

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...

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 ...

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...

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,...

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