Transplantation

Identification of sepsis subphenotypes: current methods and clinical implications in critical care practice. A structured narrative review.

Sepsis demonstrates high variability in clinical manifestations, and patients with similar manifestations at the moment of diagnosis usually develop in very different ways. Such differences are explained by the difference in the immune response and organ reactions to infection. To counter this diversity, scientists have started to classify the patients into subphenotypes to determine whether the t...

[Chapter 6. Ethical issues in transplant matching].

This contribution examines the ethical issues that arise when organ-patient matching is performed using algorithmic matching. The first part reviews the ethical problems present in many phases of the transplant process: who can be considered a potential donor? Who is accepted on the transplant waiting list, and ultimately, to whom does the harvested organ go? The second part presents algorithmic m...

Deep learning-powered quantification of endocrine cells and CD3+ T cells in the natural history of type 1 diabetes.

AIMS/HYPOTHESIS: Histopathological analysis in type 1 diabetes presents challenges in achieving precise characterisation with cellular quantification ...

Prediction of SARS-CoV-2 exposure through T cell activation profiles.

In the ongoing effort to study the SARS-CoV-2 virus and COVID-19 disease, assessment of the T cell immune response has guided vaccine and therapeutic ...

Deep Learning Morphometric Analysis on Protocol Biopsies Predicts Future Graft Function.

INTRODUCTION: The predictive value of Banff classification in protocol transplant biopsies without specific lesions is limited. Morphometry provides p...

Accurate estimation of hip range of motion using MediaPipe and inertial sensors with machine learning models.

Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such a...

Modulation of tumor-derived exosomes and reprogramming of cancer-associated fibroblasts for colorectal cancer therapy.

Hypoxia is pervasive within the solid tumor microenvironment (TME), reshaping it through exosome release. As the main component of the tumor stroma, f...

Reproducibility assessment of Dextrusion: A deep learning pipeline for detecting epithelial cell extrusion events.

Reproducibility is essential for scientific software but can be hindered by technical and maintenance challenges. As part of the Global Bioimage Analy...

Factors Associated with Respite Care Use Among Veteran Caregivers: A Machine Learning Analysis.

BACKGROUND AND OBJECTIVES: Respite care provides temporary relief to family caregivers yet remains underused, and the factors shaping its utilization ...

Beyond Diagnosis: A Systematic Review of Artificial Intelligence and Deep Learning in Monitoring Iron Overload and Organ Toxicity in Beta-Thalassemia.

Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a primary cause of organ toxicity and mortality desp...

Multidimensional immune ecological subtyping identifies RUNX1 as a prognostic factor in uveal melanoma.

Uveal melanoma (UVM) is an aggressive intraocular malignancy with a high risk of metastasis but few effective therapies. However, current molecular cl...

A Triple-Perception Adaptive Network for In Vivo Organ Recognition Using Diffuse Reflectance Hyperspectral Imaging.

Near-infrared diffuse reflectance hyperspectral imaging (HSI), as an emerging noninvasive imaging technology, captures organ-specific spectral informa...

A general-purpose framework for chemical reaction representation with atomic correspondence and flexible condition adaptation.

MOTIVATION: Organic synthesis is fundamental to the chemical industry, particularly in domains such as pharmaceutical development. While artificial in...

Global research trends in artificial kidneys (2014-2024): A bibliometric and visualization study.

When renal function is lost following resection of renal tumors, in the setting of end-stage kidney disease, or after traumatic nephrectomy, kidney tr...

Probabilistic computing utilizing HfO2-based stochastic ferroelectric tunnel junctions.

Probabilistic neural networks are good at solving complex optimization tasks, but require stochastic, energy-efficient probabilistic bit (p-bit) neuro...

Patients and donors trust in data authorization for AI-based medical research.

Artificial intelligence (AI) is increasingly being applied to biomedical research and public healthcare. However, concerns regarding security are aris...

Early identification of high-risk individuals for mortality after lung transplantation: A retrospective cohort study with topological feature engineering.

Lung transplantation remains the only definitive treatment for end-stage respiratory failure; however, it has substantial post-operative mortality ris...

Microbial succession from nursery to vineyard highlights the role of beneficial and pathogenic microbes in young vineyard yield.

BACKGROUND: The grapevine microbiome plays a central role in shaping vineyard performance, yet the influence of nursery inherited microbes on vineyard...

Flexible Strain-Temperature Dual-Modal Smart Patch Based on 3D Printing for Wound Healing Promotion and Health Monitoring.

For patients with open joint wounds, postoperative rehabilitation requires real-time and reliable monitoring of physiological parameters. Conventional...

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.

The translation of big data analytics and artificial intelligence (AI) into clinical decision support systems (CDSSs) has advanced from proof of conce...