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Research from Penn demographers shows that, though trends vary regionally, mortality is increasing, particularly for women, 25- to 44-year-olds, and those in rural areas.
In a Q&A, Penn demographer Michel Guillot discusses recent work showing that male children of immigrants from Algeria, Morocco, and Tunisia have a mortality rate nearly double that of the native population in France.
Today, fewer than half of U.S. counties have this capability. Rising juniors Anthony Scarpone-Lambert and Kirti Shenoy want to change that with their nonprofit Text-911.
The Penn Medicine Institute for Biomedical Informatics has launched a free, open-source automated machine learning system for data analysis that is designed for anyone to use.
Proponents of artificial intelligence in medicine say the technology holds great potential in predicting drug interaction, infection risk factors—even in cancer diagnoses Penn’s Ravi Parikh and Amol Navathe discuss their research on the best way to leverage artificial intelligence in medicine.
A Penn-developed app can predict the likelihood that a patient will develop an incisional hernia following abdominal surgery, utilizing electronic health records to identify the most common risk factors for patients.
Wharton’s Kartik Hosanagar’s new book, “A Human’s Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control,” examines how algorithms influence our decisions.
Beyond promoting vaccines and overall health education, Campus Health, the public health arm of Student Health Service, is watching for clusters of common illnesses, unusual diagnoses, and anything out of the ordinary.
A Q&A with statistician Shane Jensen, who discusses the math behind sports team rankings, why March Madness has so many underdog victories, and how technology might change how analysts study sports teams in the future.
Whether you’re a night owl or a morning lark could affect your risk of developing a psychiatric disorder.