Transplantation

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 recove...

Artificial Intelligence: The New Transplant Selection Committee Member.

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 (A...

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

BACKGROUND: Graft/ stent thrombosis after lower extremity revascularization (LER) is a serious compl...

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 pote...

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 co...

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 suc...

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 r...

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 respons...

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 dys...

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...

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...

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 o...

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 card...

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 T...

Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade.

BACKGROUND: Illicit kidney trade networks, operating globally, involve intricate interactions among ...

Advancing Cardiovascular, Kidney, and Metabolic Medicine: A Narrative Review of Insights and Innovations for the Future.

Cardiovascular, kidney and metabolic (CKM) conditions are interrelated, significantly contributing t...

Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.

Pancreas rejection: quieting the storm to preserve graft function.

PURPOSE OF REVIEW: Allograft rejection remains enigmatic and elusive following pancreas transplantat...

Ambiguity-aware semi-supervised learning for leaf disease classification.

In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural networ...

Deep learning can predict cardiovascular events from liver imaging.

BACKGROUND & AIMS: Cardiovascular mortality remains the leading cause of death and a significant sou...