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A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection
Despite a few successes using biomarkers for targeted therapy, ICS choice, especially in the primary care setting, is largely by trial and error and many patients remain uncontrolled [37-42].
Besides patient nonadherence and environmental factors, response to ICS treatment is affected by genetic variations in ICS metabolizing enzymes [43,44], regardless of whether the ICS is used alone or is combined with another asthma medication like a long-acting beta2 agonist.
JMIR Med Inform 2024;12:e56572
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Additionally, there was a relative reduction of 91% in clinical deterioration among study patients receiving ICS. Therefore, evaluation of the use of ICS in the treatment of outpatient COVID-19 and long-term outcomes is advised.
JMIR Form Res 2023;7:e36023
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