⌁ Biology
Forecasting C. difficile abundance after treatment
Can a longitudinal microbiome model forecast next-sample C. difficile abundance?
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Once a licensed cohort is frozen, use patient-disjoint evaluation and beat last-observation prediction by at least 15% mean absolute error; report sampling gaps and all failures.
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