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Spotlight
Honored with the 2026 Excellence in Research Award, Donglin Zeng develops tools that help clinicians identify more effective treatments for individual patients and guide public health decisions
University of Michigan biostatistician Donglin Zeng transforms complex health data into precision medicine tools that help clinicians personalize treatments and improve public health decisions. Honored with the 2026 Excellence in Research Award, his work blends statistics, machine learning and patient care to advance evidence-based medicine, vaccine research and healthier outcomes.
University of Michigan researchers found that two widely used tools for measuring community need often disagree, and traced it to one simple math fix. Standardizing the formula cut disagreement from 13% to just 3%.
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Two nationally recognized scientists with decades of experience advising U.S. vaccine policy argue that it is a mistake to exclude well-designed observational studies in determining how well vaccines work on a year-to-year basis.
