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Novel-Time-1279 t1_j7mgwv6 wrote

For your repurposing efforts, have you considered partnering with one of the large-scale EHR data providers and running causal inference algorithms to try to identify potential unexpected effects of certain therapeutics or combinations thereof in longitudinal outcome data?

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IHaque_Recursion t1_j7mu67h wrote

It’s an interesting idea, but we think our unique advantage is being able to generate scalable,, relatable, and reliable data in-house. Clinical data are extremely challenging to work with from a statistical perspective (the number of confounders is astounding, and once you stratify you may be left with very few samples). That said, real-world evidence is certainly interesting from a clinical development perspective for understanding the patient landscape, longitudinal disease progression, and for informing patient selection strategies in clinical trials; and other population-scale datasets may be of interest for advancing our discovery and development pipelines.

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