Data-driven analysis and prediction of dynamic postprandial metabolic response to multiple dietary challenges using dynamic mode decomposition.

"the simulated data along with a matlab implementation of pdmdc is available at https://github com/fraunhoferchalmerscentre/pdmdc personalized nutrition differential responders metabotypes dynamic mode decomposition precision nutrition section-at-acceptance nutrition methodology 1 diet is one of the main modifiable lifestyle factors that contribute to health ( )."

"the simulated data along with a matlab implementation of pdmdc is available at https://github com/fraunhoferchalmerscentre/pdmdc personalized nutrition differential responders metabotypes dynamic mode decomposition precision nutrition section-at-acceptance nutrition methodology 1 diet is one of the main modifiable lifestyle factors that contribute to health ( )."

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work has been supported by the Swedish Foundation for Strategic Research (SSF, FID17-0020) and the Swedish Research Council for Sustainable Development (FORMAS, 2016-00314), and has been developed as part of the FORMAS project “Diet × gut microbiome-based metabotypes to determine cardio-metabolic risk and tailor intervention strategies for improved health” (2017-02003) funded by the European Joint Programming Initiative “A Healthy Diet for a Healthy Life” (www.healthydietforhealthylife.eu) (RL, CB). All funders are gratefully acknowledged."