I can say that I know Aussie scientists have been asked. I didn't respond as I'd just say, we need testing. Perhaps responses will be forthcoming in the next round of media outputs?
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Out of curiosity - given that ML-based projects on this especially aren't likely to slow down in the next 10 years, what do you think good work on this would look like? (I realize this might be a conversation for over beers instead of twitter)
Oh yes, AI to the rescue 
. Issue one - small training dataset and that's hard to overcome. But otherwise, integration of other data - trees, kmer profiling, restriction sites, host gene interactions, structures, known receptors, etc.
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I'd love to pick your brain about this sometime when there's not a coronavirus pandemic
We're wrangling a proposal around this now, and I think I see eye to eye with you on a lot of this - we've struggled to figure out how to appropriately articulate what those data look like -
(Happy to email that proposal over if it's of any interest)
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