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Women’s bodies can be mysterious things—even to the women who inhabit them. But a wearable gadget called the Yono aims to replace mystery with knowledge derived from statistics, big data, and machine learning.
An international consortium of scientists has analyzed protein-coding genes from nearly 46,000 people, linking rare DNA alterations to type 2 diabetes. The study, one of the largest known of its type, includes data from people of European, African American, Hispanic/Latino, East Asian, and South Asian ancestries.
The University of Michigan School of Public Health’s Big Data Summer Institute has received a three-year grant from the National Heart, Lung, and Blood Institute to continue a program run by the Department of Biostatistics that introduces undergraduate students to the intersection of big data and human health.
Five years in, the US$360 million Accelerating Medicines Partnership is yielding tools to speed up drug discovery for rheumatoid arthritis, lupus, diabetes, Alzheimer disease and Parkinson disease.
From understanding the influence of congressional members’ Twitter accounts to discussing why the global crude oil price rose again after 2016, the second annual Data for Public Good Symposium will showcase the unique ways in which students, faculty, staff and community members have analyzed and assessed data to benefit others.
Over the past few years, the NFL has been haunted by the early deaths of some former players whose brains showed signs of chronic traumatic encephalopathy. CTE is a neurodegenerative disease characterized by memory loss, mood disorders, dementia and other brain-related problems. But how prevalent is CTE, and how likely are players to develop it? Those remain unanswered questions, despite ongoing attempts to answer them.