For the development and screening of novel drugs in a high-throughput manner, classification systems are developed to classify beating cardiomyocytes as healthy ...
Review concerns modern views on ionic mechanism of action potential formation in cardiomyocytes. Main characteristics of cardiomyocyte ion current are described ...
Beating cardiomyocytes, LIME. 1. INTRODUCTION. Cardiovascular diseases are ... and to explain algorithms that classify the motion of beat- ing CMs. The ...
Jun 21, 2021 · Machine learning has been used to distinguish healthy from diseased cardiomyocytes using calcium (Ca2+) transient signals.
CA-LIME: An Algorithm that Explains Classification Results of Cardiomyocyte Beating. Tijmen H. de Wolf. ,. Matthijs Snelders. ,. Jeroen Essers. ,. Ihor Smal.
CA-LIME: An Algorithm that Explains Classification Results of Cardiomyocyte Beating ... beating status simultaneously under the drug effects. Two typical ...
CA-LIME: An Algorithm that Explains Classification Results of Cardiomyocyte Beating. ISBI 2023: 1-4. [+][–]. 2010 – 2019. FAQ. see FAQ. What is the meaning of ...
Machine learning algorithms can accelerate the classification of diseased cells, identify side effects of new cardioactive drugs under development, or evaluate ...
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Oct 1, 2013 · We developed methods for measuring the impact of drug candidates on the beating rate of human iPSC derived cardiomyocytes using fast kinetic ...
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... classification score. Note that the expected value of the ground truth y for each class is between [-1, 1], while the classification score ˆy is between [0, 1].