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Causal machine learning for predicting treatment outcomes - Nature Medicine

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Causal machine learning for predicting treatment outcomes - Nature Medicine

Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment outcomes including efficacy and toxicity, thereby supporting the assessment and safety of drugs. A key benefit of causal ML is that it allows for estimating individualized treatment effects, so that clinical decision-making can be personalized to individual patient profiles.

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Causal machine learning for predicting treatment outcomes - Nature Medicine

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Causal machine learning for predicting treatment outcomes - Nature Medicine

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