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Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models
Published 2023-08-01Subjects: Get full text
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Utilizing Computational Modelling to Bridge the Gap between In Vivo and In Vitro Degradation Rates for Mg-xGd Implants
Published 2023-03-01“…Finding a suitable alternative to predict the degradation of Mg alloys, however, remains challenging. We present computational modelling as a possible alternative to bridge the gap between in vitro and in vivo testing, thus reducing overall cost, duration and number of experiments. …”
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Computational modelling of γ-H2AX foci formation in human cells induced by alpha particle exposure
Published 2022-08-01“…Consequently, the conventional γ-H2AX assay can be better implemented by employing this computational modelling of γ-H2AX foci formation.…”
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Using Starlogo Nova as a Classroom Assignment Orchestration Tool for Learning Computational Modeling in DC High Schools
Published 2023“…DC-Models, a 4-year NSF project, is exploring the incorporation of computational modeling (CM) into the science curriculum of high school students in the District of Columbia Public Schools (DCPS) to address the lack of relevant resources for computational thinking (CT) education. …”
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Computational model for the IGF-II/IGF2r complex that is predictive of mutational and surface plasmon resonance data.
Published 2006Journal article -
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Why and how the co-occurring familiar object matters in Fast Mapping (FM)? Insights from computational models
Published 2019Journal article -
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Extending and applying spartan to perform temporal sensitivity analyses for predicting changes in influential biological pathways in computational models
Published 2016“…We exemplify this extended functionality by using the computational model of lymphoid tissue development as a time-lapse tool. …”
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Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia.
Published 2016“…Computational modelling, combined with experimental investigations, is a powerful method for investigating complex cardiac electrophysiological behaviour. …”
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