CELL-SPECIFIC MODELS OF HIPSC-CMS DEVELOPED BY THE GRADIENT-BASED PARAMETER OPTIMIZATION METHOD FITTING TWO DIFFERENT ACTION POTENTIAL WAVEFORMS

Cell-specific models of hiPSC-CMs developed by the gradient-based parameter optimization method fitting two different action potential waveforms

Abstract Parameter optimization (PO) methods to determine the ionic current composition of experimental cardiac action potential (AP) waveform have been developed using a computer model of cardiac membrane excitation.However, it was suggested that fitting a single AP record in the PO method was not always successful in providing a unique answer bec

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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model

Background Identification of futile recanalisation following Sunless Tanner endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging.Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.Methods Hybrid machine learning models were de

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