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Shirt-Ediss, Ben https://orcid.org/0000-0002-8853-0182

Torelli, Emanuela https://orcid.org/0000-0002-3313-1088

Navarro, Silvia Adriana https://orcid.org/0000-0001-9290-1583

Khamis, Hadeel

Kaplan, Ariel https://orcid.org/0000-0002-9731-6962

Trewby, William https://orcid.org/0000-0002-5319-8618

Elezgaray, Juan https://orcid.org/0000-0001-7356-0103

Moradzadeh, Nima https://orcid.org/0009-0002-2484-0621

Haydell, Michael https://orcid.org/0009-0002-1025-4760

Keppner, Daniel

Famulok, Michael https://orcid.org/0000-0001-5878-6577

Armstrong, Kai

Krasnogor, Natalio https://orcid.org/0000-0002-2651-4320

Funding for this research was provided by:

EC | Horizon 2020 Framework Programme (Grant agreement 899833)

EC | Horizon 2020 Framework Programme (Grant agreement 899833)

EC | Horizon 2020 Framework Programme (Grant agreement 899833)

Department for Science, Innovation and Technology (DSIT) and the Royal Academy of Engineering - Chair in Emerging Technologies award.

Royal Society (International Exchanges Grant IES/R1/180080)

Royal Society (Grant 937/20)

Israel Science Foundation (Grant 937/20)

Text and Data Mining valid from 2026-05-26

Accepted Manuscript valid from 2026-05-26