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  • Overdose data, often scattered and siloed, pose challenges for researchers racing to predict risk

    Stat - 08/02/2021

    Taken together, those gaps have created what Weiner calls a “black hole” in valuable patient data. That makes it difficult for modelers like Muhammad Noor E Alam, an assistant professor of mechanical and industrial engineering at Northeastern University, to gather enough useful data to develop models that can actually improve treatment outcomes or help curb overdose rates.

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