Through
4/26
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.
John Lapinski, director of elections at NBC and the Robert A. Fox Leadership Professor of Political Science at Penn, discusses projecting elections and what to expect from the midterms.
The two-year effort includes electronic research notebooks, a research symposium, and a task force of faculty and students, all spearheaded by the Office of the Vice Provost for Research.
The language people use in these social media posts can make these predictions as accurately as the tools clinicians use in medical settings to screen for the disease.
The largest single gift the school has ever received, it will support the Penn Wharton Budget Model, and help recruit distinguished professors and appoint Rowan Fellows for five-year terms.
Marc Trussler of the School of Arts & Sciences says that Biden surrogates can’t outright ignore warning signs from polling data.
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Stephanie Perry and Elizabeth Schreier of the Penn Program on Opinion Research and Election Studies and Joelle Gross of the School of Arts & Sciences share their methodology for the NBC News Super Tuesday exit polls.
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Penn alum Catherine Griffin has created ImpactableX, an analytics platform to help social impact startups quantify their impact.
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In a recent paper, William Marble of the School of Arts & Sciences argues that white voters with college degrees, not just the white working class, drove the political-polarization process.
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Joe Simmons of the Wharton School is among a growing number of scientists in various fields around the world who moonlight as data detectives, sifting through studies published in scholarly journals for evidence of fraud.
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PIK Professor Desmond Upton Patton and colleagues are studying how generative AI, particularly chatbots, can be used ethically in social sciences work.
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