Transplantation

55 MHz constant field dielectric warming of kidneys and ovaries cryopreserved by vitrification.

Organs cryopreserved by vitrification benefit from fast warming to avoid growth and recrystallization of ice that may nucleate during cooling and during warming. Rapid warming is especially important for tissue that doesn't absorb the full concentration of perfused cryoprotectants. Nanowarming uses an oscillating magnetic field to heat magnetic nanoparticles introduced into blood vessels during cr...

Grape drying promote agentia: Food safety assessment of a broad-spectrum use drying agent for dried fruits.

Grape drying promote agentia (GDPA) plays a crucial role in raisin production and is widely used. These accelerators primarily consist of alkaline reagents, lipid compounds and other drying agents. They function by undergoing saponification reactions to produce higher fatty acid salts, which disrupt the waxy layer of grape skins, thereby accelerating the dehydration process of grapes. To assess th...

Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period.

BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and machine learning (ML) algorithms, is a suitable app...

A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zoonotic diseases. This mechanism involves multi-lev...

Modification of the toronto rehabilitation institute-hand function test for integration into robot-assisted therapy: technical validation and usability.

BACKGROUND: Effective rehabilitation of the upper extremity function is vital for individuals recovering from stroke or cervical spinal cord injury, a...

Enhancing Organ Allocation Efficiency: A Pilot Study Evaluating Artificial Intelligence-Assisted Assessment of Donor Kidney Pathology.

PURPOSE: The purpose of this study is to evaluate the effectiveness of an artificial intelligence (AI)-assisted review (AAR) system in improving diagn...

Using machine learning models to predict post-revascularization thrombosis in PAD.

BACKGROUND: Graft/ stent thrombosis after lower extremity revascularization (LER) is a serious complication in patients with peripheral arterial disea...

Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

Non-coding RNAs (ncRNAs) play a crucial role in breast cancer progression, necessitating advanced computational approaches for precise disease classif...

Polystyrene nanoplastics cause developmental abnormalities, oxidative damage and immune toxicity in early zebrafish development.

Aquatic organisms are increasingly affected by polystyrene nanoplastics (PSNPs), which have the potential to disrupt development, induce oxidative str...

Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow.

During thrombosis, platelets rapidly deposit and activate on the vessel wall, driving conditions such as myocardial infarction and stroke. The complex...

Orexin Restoration in Narcolepsy: Breakthroughs in Cellular Therapy.

Narcolepsy is a chronic neurodegenerative disorder defined by the selective loss of orexin-producing neurons in the lateral hypothalamus, leading to e...

Towards optimized donor site closure of radial forearm flaps: A cohort study of two techniques.

The radial forearm flap (RFF) is widely used for microvascular reconstruction in the head and neck region, but donor site complications, such as flexo...

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology.

Large language models generate plausible text responses to medical questions, but inaccurate responses pose significant risks in medical decision-maki...

Identification of pyroptosis-related gene S100A12 as a potential diagnostic biomarker for sepsis through bioinformatics analysis and machine learning.

Sepsis is a non-discriminatory inflammatory reaction that can result in a diverse array of organ dysfunctions, which can be fatal. Pyroptosis is a pro...

scCompass: An Integrated Multi-Species scRNA-seq Database for AI-Ready.

Emerging single-cell sequencing technology has generated large amounts of data, allowing analysis of cellular dynamics and gene regulation at the sing...

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis.

Federated learning (FL) methods for multi-organ segmentation in CT scans are gaining popularity, but generally require numerous rounds of parameter ex...

Forecasting optimal treatments in relapsed/refractory mature T- and NK-cell lymphomas: A global PETAL Consortium study.

There is no standard of care in relapsed/refractory T-cell/natural killer-cell lymphomas. Patients often cycle through cytotoxic chemotherapy (CC), ep...

Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography.

Optimal selection of X-ray imaging parameters is crucial in coronary angiography and structural cardiac procedures to ensure optimal image quality and...

Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. Howeve...

Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi dataset.

The Vehicular Reference Misbehavior Dataset (VeReMi) is a vital resource for advancing Intelligent Transportation Systems (ITS) and the Internet of Ve...