> The research and innovation program, named GALATEA, stands as a pioneering venture targeting infant nutrition through the development of a digital twin of human milk.

> The overarching objective is to create a sophisticated simulation platform that mirrors the intricate composition of human milk, allowing for the formulation of personalized nutrition plans for infants, particularly those born prematurely.

> Anticipated outcomes include enhanced health outcomes for newborns, a deeper understanding of human milk for the advancement of artificial milk formulations, and the establishment of a robust research community dedicated to neonatal nutrition.

I mean, the ideal outcomes sound pretty good. And the non-ideal outcome is we learnt about a bunch of stuff that doesn't work, that's how research works after all.

What, exactly, is your critique about that particular research? That they call it a "digital twin", or what?

> rarely produce any good outcomes

That's the nature of research.

> The overarching objective is to create a sophisticated simulation platform that mirrors the intricate composition of human milk, allowing for the formulation of personalized nutrition plans for infants, particularly those born prematurely.

I don't see any buzzwords there; simulation is an indispensable tool modern for biochemistry.

If you stopped reading at the (admittedly daft) acronym, it's worth keeping in mind that, outside computer circles, 'digital twin' now refers to any kind of simulation or tracking of a physical resource. This is not some nebulous proposal for a blockchain NFT of human milk, it's genuine scientific research.