AI/ML models show promise for predicting individual migraine treatment response, potentially enabling precision medicine instead of trial-and-error prescribing for anti-CGRP and other therapies.
Precision prescribingAI could predict which migraine treatment works for each patient, replacing the current trial-and-error approach
What the researchers found
AI/ML models can predict migraine treatment response with varying accuracy, potentially enabling precision prescribing for anti-CGRP therapies and other migraine drugs, though validation and standardization are needed.
Why it matters
Moving from trial-and-error to precision migraine prescribing could reduce patient suffering and healthcare costs by getting the right treatment right the first time.
How the study worked
Scoping review of AI/ML studies predicting pharmacological treatment response in migraine, covering clinical, imaging, genetic, and biomarker prediction features.
What this study cannot tell us
Most studies have small datasets. External validation rare. No standardized treatment response definitions. Heterogeneous AI/ML methods.
How to read the evidence
Scoping review of an emerging field. Individual studies vary in quality; the field needs standardization and larger validation studies.
When this study was published
Published in 2025.
The bigger picture
Precision medicine for migraine could transform how anti-CGRP drugs and other treatments are prescribed, reducing the current 50%+ non-responder rate.
Questions still open
- Which features best predict anti-CGRP drug response?
- Can a unified prediction tool be deployed in clinical practice?
- Would treatment prediction reduce overall migraine healthcare costs?
Common questions
Could AI predict which migraine drug will work for me?
Why is migraine treatment so often trial-and-error?
Read the original research
Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions.
Pharmacotherapy, 46(2), e70085
Citation
Giacon, Martina; Terrazzino, Salvatore. (2026). Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions.. Pharmacotherapy, 46(2), e70085. https://doi.org/10.1002/phar.70085