What the latest omicron subvariants mean for reinfection risk
Omicron and its growing family of subvariants has left Americans wondering whether they have enough immunity to protect against the ever-changing virus.
The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
Fake Hermès Birkin bags and other counterfeit luxury goods are popular not only with people on a budget, but also with those with deeper pockets, a new study suggests.
Researchers from the National University of Singapore analyzed millions of counterfeit purchases by American consumers from more than 24,000 U.S. zip codes on a major cross-border, e-commerce platform. They found that both lower- and higher-income individuals are “significantly more likely” to buy fake luxury items than middle-income consumers, according to a press release by INFORMS on Monday.
A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates and was associated with significantly lower mortality, according to new research published in the INFORMS journal Manufacturing & Service Operations Management.
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Omicron and its growing family of subvariants has left Americans wondering whether they have enough immunity to protect against the ever-changing virus.
Most states have already finalized their new congressional maps, with candidates jockeying to gain their party’s nomination, and hopefully win a seat in the 118th Congress during the upcoming November midterm election.
Tempted to walk away when you’re at the end of a line? You’re not alone. Being last in line negatively impacts your satisfaction and makes it more likely you’ll bail before getting to the front, says Ryan Buell, professor of business administration at Harvard Business School, whose research was published last year in the journal Management Science.
The research, published in the journal BMC Public Health, shows that total closure in favour of remote learning, however, offers little additional advantage over the hybrid option.
Researchers from Boston Children’s Hospital and Yonsei University have developed a machine learning tool to predict no-shows in pediatric medical appointments.

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