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Learning from prepandemic data to forecast viral escape.
Thadani, Nicole N; Gurev, Sarah; Notin, Pascal; Youssef, Noor; Rollins, Nathan J; Ritter, Daniel; Sander, Chris; Gal, Yarin; Marks, Debora S.
Affiliation
  • Thadani NN; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Gurev S; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Notin P; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA.
  • Youssef N; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK.
  • Rollins NJ; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Ritter D; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Sander C; Seismic Therapeutic, Watertown, MA, USA.
  • Gal Y; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Marks DS; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Nature ; 622(7984): 818-825, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37821700
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Viruses / Evolution, Molecular / Immune Evasion / Pandemics / Forecasting / Mutation Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nature Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Viruses / Evolution, Molecular / Immune Evasion / Pandemics / Forecasting / Mutation Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nature Year: 2023 Document type: Article Affiliation country: Country of publication: