Clinical Utility Findings of a Transcriptomic Psoriasis Biologic Test Demonstrate Altered Physician Prescribing Behavior and Improved Patient Outcomes

Clinical Utility Findings of a Transcriptomic Psoriasis Biologic Test Demonstrate Altered Physician Prescribing Behavior and Improved Patient Outcomes

Abstract Introduction This randomized, prospective study (MATCH) was designed to assess the clinical utility of a machine learning-based tool (Mind.Px) that predicts patient response to the biologic drug classes used in the management of psoriasis. Methods Patients with psoriasis who were biologic n...

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Bibliographic Details
Main Authors: Bruce E. Strober, Michael Bukhalo, April W. Armstrong, David Pariser, Leon Kircik, Brian Johnson, Paul Montgomery, Tobin J. Dickerson
Format: Article
Language:English
Published: Adis, Springer Healthcare 2025-05-01
Series:Dermatology and Therapy
Subjects:
Psoriasis
Machine learning
Clinical utility
Biomarkers
Transcriptomics
Biologics
Online Access:https://doi.org/10.1007/s13555-025-01441-y
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https://doi.org/10.1007/s13555-025-01441-y

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