About this Research Topic
Organoid technology is an excellent methodology to recapitulate macro-scale tissue self-organization, bridging the gap between cellular- and tissue/organ-level biological models. An organoid is a self-organized 3D cell-based in vitro model that mimics the key functional, structural, and biological complexity of an organ. Despite being a simplified biological system in comparison with an organ, organoids present a high complexity level. Therefore, computational modeling can provide a complementary tool for advancing the understanding of this complexity that contributes to the initiation, development, and functionality of organoids.
Different numerical and mathematical approaches can be used to simulate organoid-based technology. In this Research Topic, we collect the most recent advances in mathematical and computational simulation of organoids from their morphogenesis and development to their functionality. We aim to connect experimental researchers and computational modelers to acquire a more quantitative description and prediction of organoid dynamics and physiology.
Computer-based models can be a useful complementary technology to advance the understanding of organoid technology, providing more quantitative and predictive tools. The models utilized can be based on different numerical or mathematical approaches that can vary from mechanistic multiscale modeling and simulation and/or artificial intelligence (AI) modeling and/or advanced statistical modeling. Models can use continuum, discrete, or hybrid approaches.
In this Research Topic, we welcome contributions in the form of original research and reviews, that cover, but are not limited to, the following themes:
- Multiphysics and multiscale modeling of physiological organoids;
- Modeling of organoids corresponding to pathologies and their response to treatment;
- Novel numerical approaches to simulate organoids;
- Image-based algorithms to quantify organoids;
- AI-based algorithms to quantify and predict organoids behavior;
- Validation of mathematical models in comparison with experiments;
Different numerical and mathematical approaches can be used to simulate organoid-based technology. In this Research Topic, we collect the most recent advances in mathematical and computational simulation of organoids from their morphogenesis and development to their functionality. We aim to connect experimental researchers and computational modelers to acquire a more quantitative description and prediction of organoid dynamics and physiology.
Computer-based models can be a useful complementary technology to advance the understanding of organoid technology, providing more quantitative and predictive tools. The models utilized can be based on different numerical or mathematical approaches that can vary from mechanistic multiscale modeling and simulation and/or artificial intelligence (AI) modeling and/or advanced statistical modeling. Models can use continuum, discrete, or hybrid approaches.
In this Research Topic, we welcome contributions in the form of original research and reviews, that cover, but are not limited to, the following themes:
- Multiphysics and multiscale modeling of physiological organoids;
- Modeling of organoids corresponding to pathologies and their response to treatment;
- Novel numerical approaches to simulate organoids;
- Image-based algorithms to quantify organoids;
- AI-based algorithms to quantify and predict organoids behavior;
- Validation of mathematical models in comparison with experiments;
Keywords: agent-based models, multicellular systems, computational models, organoids, mathematical modeling, deep-learning algorithms, image-based analysis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
