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Predicting Responders to Reslizumab after 16 Weeks of Treatment Using an Algorithm Derived from Clinical Studies of Patients with Severe Eosinophilic Asthma.

Eric D BatemanRatko DjukanovićMario CastroJanice CanvinMatthew GerminaroRobert NobleMargaret GarinRoland Buhl
Published in: American journal of respiratory and critical care medicine (2020)
Our algorithm enabled prediction at 16 weeks of treatment of the response to intravenous reslizumab treatment at 52 weeks, but it was not suitable for predicting nonresponse. A positive score at 16 weeks should encourage continued treatment, and a negative score should prompt close monitoring to determine whether discontinuation is warranted.
Keyphrases
  • machine learning
  • deep learning
  • chronic obstructive pulmonary disease
  • early onset
  • chronic rhinosinusitis