AIMC Topic: Urinalysis
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Label-free urinary protein detection through machine learning analysis of single droplet evaporation patterns.
Analytica chimica acta
Jun 22, 2025
BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily increasing incidence. Urinary protein detection serves as a crucial indicator for the diagnosis, monitoring and management of CKD. However, current method...
Light Bladder Net: Non-invasive Bladder Cancer Prediction by Weighted Deep Learning Approaches and Graphical Data Transformation.
Anticancer research
May 1, 2025
BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the importance of early and accurate detection. This study aimed to develop a lightweight and fast deep learning model, Light-Bladder-Net (LBN), for non-invasi...
ML-UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper.
Physiological reports
Mar 1, 2025
The void spot assay has gained popularity as a way of assessing functional bladder voiding parameters in mice, but analyzing the size and distribution of urine spot patterns on filter paper with software remains problematic due to inter-laboratory di...
A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data.
Journal of endourology
Aug 1, 2024
The absence of predictive markers for kidney stone recurrence poses a challenge for the clinical management of stone disease. The unpredictability of stone events is also a significant limitation for clinical trials, where many patients must be enro...
Applications of Artificial Intelligence in Urinalysis: Is the Future Already Here?
Clinical chemistry
Dec 1, 2023
BACKGROUND: Artificial intelligence (AI) has emerged as a promising and transformative tool in the field of urinalysis, offering substantial potential for advancements in disease diagnosis and the development of predictive models for monitoring medic...
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