![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
![Combination of data-driven models and interpolation technique to develop of PM10 map for Hanoi, Vietnam | Scientific Reports Combination of data-driven models and interpolation technique to develop of PM10 map for Hanoi, Vietnam | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-020-75547-y/MediaObjects/41598_2020_75547_Fig1_HTML.png)
Combination of data-driven models and interpolation technique to develop of PM10 map for Hanoi, Vietnam | Scientific Reports
![Mechanistic and data-driven models of cell signaling: Tools for fundamental discovery and rational design of therapy - ScienceDirect Mechanistic and data-driven models of cell signaling: Tools for fundamental discovery and rational design of therapy - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2452310021000342-ga1.jpg)
Mechanistic and data-driven models of cell signaling: Tools for fundamental discovery and rational design of therapy - ScienceDirect
![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)