Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learning.
Journal:
Computer methods and programs in biomedicine
Published Date:
Jun 4, 2025
Abstract
BACKGROUND AND OBJECTIVE: Predicting cardiovascular risk is critical for the therapy and control of cardiovascular illnesses. This work studies screening the toxicity of three drugs, (E-4031, isoprenaline, and sertindole) with various concentrations using tracking of the single cardiac cell's contractile motion to explore the drug concentration impact on single cell contractile dynamics and automated classification based on cells motion behavior using deep transfer learning and different machine learning based methods.
