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  "documentTitle": "2022 Air Street Capital The State of AI Report 2022",
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  "authorName": "Air Street Capital",
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  "notes": "The slide features a grid of 16 small area charts showing variant submission counts over time, with red (EWS prediction) and green (WHO designation) markers.",
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      "text": "The EWS could identify all 16 WHO-designated variants on average more than one and a half months prior to officially receiving the designation.",
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      "text": "A large pre-trained protein language model was trained on viral spike protein sequences of variants.\nNew spike protein variants are fed to a transformer that outputs embeddings and a probability distribution of the 20 natural amino acids for each position to determine how this would affect immune escape and fitness.\nThe red dash line indicates the date when the EWS predicted the variant would be high-risk and the green dash-dot line is when the WHO designated the variant. In almost all cases, EWS alerted several months before the WHO designation.",
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      "text": "mRNA vaccine leader, BioNTech, and enterprise AI company, InstaDeep, collaboratively built and validated an Early Warning System (EWS) to predict high-risk variants. The EWS could identify all 16 WHO-designated variants on average more than one and a half months prior to officially receiving the designation.",
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