And at the same time, incorporating AI into a "virtuous cycle" that informs and validates experimental work is still essential for making accurate and informative predictions.

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Data quality and availability will be important factors moving forward if we want to expand research beyond well-studied viruses like IAV and SARS-CoV-2 (for which we have lots of sequence data for training models).

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The big takeaway? AI is already changing the way we study viruses in big and important ways - particularly when it comes to drug discovery and improving our understanding of viral evolution.

But it's not a magic bullet.

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