I'm less concerned about which device would be used (this is just one that came to mind that tries to translate breath into data), and more concerned about whet

I'm less concerned about which device would be used (this is just one that came to mind that tries to translate breath into data), and more concerned about whether it was possible to translate breath into data at all. A breathalyzer might be just as good a comparison and is more reusable: if we can detect & capture breath/spit from enough infected & uninfected, surely a pattern would begin to present itself that could be used to diagnose, no? Current testing is very specific, yes -- so would this system. But where current tests look for something specific: RNA or specific antibodies, this would simply look for "is this sample sufficiently like an infected case or an uninfected one?" Presumably there's more to what's going on in an infected person's lungs than just the existence of the antibodies. Could not ML help find these patterns and identify them as markers of infection?