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The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications

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Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort

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An open source machine learning framework for efficient and transparent systematic reviews

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