Predicting Individual Treatment Effects: Challenges and Opportunities for Machine Learning and Artificial Intelligence

URN to cite this document:: urn:nbn:de:bvb:355-epub-777757
DOI to cite this document:: 10.5283/epub.77775

Jaki, Thomas

; Chang, Chi ; Kuhlemeier, Alena ; Van Horn, M. Lee

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 22 Sep 2025 08:47

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Abstract

Personalized medicine seeks to identify the right treatment for the right patient at the right time. Predicting the treatment effect for an individual patient has the potential to transform treatment of patients and drastically improve patients outcomes. In this work, we illustrate the potential for ML and AI methods to yield useful predictions of individual treatment effects. Using the predicted ...