Seb Bowyer

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.

#AI #Virology

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).

#AI #Virology

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.

#AI #Virology

The review digs in to machine learning applications to virus data - from early uses of random forests to classify 2009 pandemic influenza viruses, to cutting edge language models tasked with forecasting tomorrow's variants of concern.

#AI #Virology

Unveiling the ghost: machine learning’s impact on the landscape of virology The complexity and speed of evolution in viruses with RNA genomes makes predictive identification of variants with epidemic or pandemic potential challenging. In recent years, machine learning has bec...

Setting up an account to talk about my review article in @microbiologysociety.org - all about how #AI has been applied to virus research!

#machinelearning #virology

doi.org/10.1099/jgv....