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the relationship between transformation and systemic risk. We support communities of research, practice, and learning by building the institutional infrastructure and shared language that an emerging
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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. Current and emerging areas of work include: Life-course and translational aging research, including integration of aging science across the Stanford Clinical and Translational Science Award (CTSA) program
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