MACHINE LEARNING FOR PREDICTING MUTATIONAL DRIVERS AND LIKELY ONSET OF FUTURE PANDEMICS

MACHINE LEARNING FOR PREDICTING MUTATIONAL DRIVERS AND LIKELY ONSET OF FUTURE PANDEMICS

Methods disclosed herein involve forecasting mutations that will lead to pathogenic spread in the near future (e.g., 1 month, 2 months, 3 months, 4 months, or more). Using prior surveillance data including a previous spread of the pathogen, informative features of a mutation are identified for the p...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Telenti, Amalio, Maher, Michael Cyrus Riley
Format: Patent
Sprache:eng
Schlagworte:
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:Methods disclosed herein involve forecasting mutations that will lead to pathogenic spread in the near future (e.g., 1 month, 2 months, 3 months, 4 months, or more). Using prior surveillance data including a previous spread of the pathogen, informative features of a mutation are identified for the pathogen and used to predict whether the mutation is likely to lead to future pathogenic spread. Thus, this enables early identification of future strains of prevalent pathogens which can be used to develop therapeutics (e.g., vaccines) before the spread has occurred.