Making Connections,
discovering Solutions
for healthier lives
Of Interest
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Spector-Bagdady featured guest on Health Affairs podcast
Precision Health member Kayte Spector-Bagdady, Assistant Professor of Obstetrics and Gynecology and Chief of the Research Ethics Service in the Center for Bioethics and Social Sciences in Medicine, spoke about racial diversity and inclusion in precision medicine and big data on Health Affairs‘ “A Health Podyssey” podcast.
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Precision Health Members among U-M faculty named 2021 AAAS fellows
The University of Michigan led the nation with 20 faculty members elected as 2021 fellows of the American Association for the Advancement of Science. Among those were Precision Health researchers Veera Baladandayuthapani, Professor of Biostatistics and Computational Medicine and Bioinformatics; Mats Ljungman, Professor of Radiation Oncology and Environmental Health Sciences; and Sofia Merajver, GreaterGood Breast Cancer Research Professor, and Professor of Internal Medicine and Epidemiology.
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Bhramar Mukherjee to receive 2022 Sarah Goddard Power Award
Bhramar Mukherjee, Associate Director for Precision Health’s Cohort Development Workgroup, is one of three faculty members selected to receive Sarah Goddard Power Awards. Named after the late Regent Sarah Goddard Power, the award recognizes individuals who have made significant contributions to the betterment of women through their leadership, scholarship, or other ways in their professional lives.
Feature Stories
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Member Spotlight: Kathleen Sienko
Kathleen Sienko, PhD, is an Arthur F. Thurnau Professor of Mechanical Engineering and a 2019 Precision Health Investigators Award recipient. She has a broad background in engineering, with specific training… more
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Geolocation data resources can advance novel Precision Health research
Where someone lives, how they get around, which amenities are nearby—these factors could have an impact on their overall health and access to health care. And combining these Socioeconomic Status… more
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Study shows how bias can creep into medical databanks that drive precision health and clinical AI
A study in the December issue of Health Affairs, from a team at the University of Michigan and Michigan State University, shows how easily unintentional design bias can affect medical data for artificial intelligence tools and personalized health care. It also points to specific ways to increase the chances that patients who are traditionally underrepresented in research can be included in biobanks.
