![Better together: how the combination of “data-driven” and “biophysical modelling” approaches can revolutionize cardiology research and care Better together: how the combination of “data-driven” and “biophysical modelling” approaches can revolutionize cardiology research and care](https://www.escardio.org/static-file/Escardio/Medias/journals/Digital%20Health/2019-09-Issue-2/novel-mechanistic-and-clinical-insights_escardio-hPhotoLarge.jpg)
Better together: how the combination of “data-driven” and “biophysical modelling” approaches can revolutionize cardiology research and care
![GMD - A methodological framework for improving the performance of data-driven models: a case study for daily runoff prediction in the Maumee domain, USA GMD - A methodological framework for improving the performance of data-driven models: a case study for daily runoff prediction in the Maumee domain, USA](https://gmd.copernicus.org/articles/16/1925/2023/gmd-16-1925-2023-f01-web.png)
GMD - A methodological framework for improving the performance of data-driven models: a case study for daily runoff prediction in the Maumee domain, USA
![Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling - Regazzoni - 2021 - International Journal for Numerical Methods in Biomedical Engineering - Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling - Regazzoni - 2021 - International Journal for Numerical Methods in Biomedical Engineering -](https://onlinelibrary.wiley.com/cms/asset/093dc731-f52d-44c8-bd79-5b44a13fcfb3/cnm3471-fig-0002-m.jpg)
Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling - Regazzoni - 2021 - International Journal for Numerical Methods in Biomedical Engineering -
Data-driven business model development – insights from the facility management industry | Emerald Insight
![Sustainability | Free Full-Text | A Physical Model-Based Data-Driven Approach to Overcome Data Scarcity and Predict Building Energy Consumption Sustainability | Free Full-Text | A Physical Model-Based Data-Driven Approach to Overcome Data Scarcity and Predict Building Energy Consumption](https://www.mdpi.com/sustainability/sustainability-14-09464/article_deploy/html/images/sustainability-14-09464-g001.png)