A common belief held that regulatory citations against drug manufacturing facilities led to drug shortages. A new study by Gies Business researchers Iris Wang and Gopesh Anand contradicts this belief.
Reif, whose research explores the intricate relationship between health, pollution, and economic factors, shed light on Illinois' air pollution trends, their associated risks, and potential policy solutions.
Four Gies faculty studied the effects eliminating medical debt from credit reports and find no evidence doing so affected consumers’ credit scores or borrowing behavior.
The most effective way to harness the power of artificial intelligence when screening for breast cancer may be through collaboration with human radiologists — not by wholesale replacing them.
The study aimed to improve diabetes care by developing a predictive and prescriptive framework for allocating health care encounters more effectively, especially for socioeconomically and demographically diverse populations.
Experts from Gies College of Business warn that the road to recovery will be long, with significant challenges to the local economy, housing market, and insurance industry.
A study out of the University of Illinois Gies College of Business details the health risks posed by smoke plumes that have traveled across the country in the days following wildfires.
The CBO estimates that the under the likely scenario (a three-degree warming trend), the GDP will decrease by four percent, wildfires would be five times greater, and damage from routine flooding would total $250 billion.
Associate Professor of Finance and Director of Gies' Health Care Research Initiative David Molitor discusses how he and his team are studying the effects of health on business and, so far, the results are extremely surprising.
In what may be the first ever systematic study looking at the likelihood of survival of ventures from all five knowledge sources, Gies professors Sonali Shah and Shinjinee Chattopadhyay examine the world of medical imaging and unpack how an origin story can predict if a company will stand the test of time.
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