News Room

A collection of press releases, audio content and media clips featuring INFORMS members and their research.

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News Release

Announcing the results of the 2026 INFORMS Board of Directors election and the new board for 2027.

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News Release

INFORMS has named 12 distinguished leaders as the 2026 class of INFORMS Fellows, one of the highest honors in the profession.

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News Release

Most medical devices do not hit the market through rigorous safety testing but by being deemed similar enough to something already approved—the “predicate” device through a mechanism known as the FDA’s 510(k) pathway. But similar is not a synonym for safe. While the assumption may be that substantial equivalence is a reasonable stand-in for a safety review, a share of devices cleared with this method still get recalled, and the FDA spends valuable time reviewing devices the same way, regardless of how risky it is on paper.

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An audio journey of how data and analytics save lives, save money and solve problems.

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INFORMS in the News

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Machines know when someone’s about to attempt suicide. How should we use that information?

Machines know when someone’s about to attempt suicide. How should we use that information?

Quartz, September 5, 2018

A patient goes into the emergency room for a broken toe, is given a series of standardized tests, has their data fed into an algorithm, and—though they haven’t mentioned feeling depressed or having any suicidal thoughts—the machine identifies them as at high risk of suicide in the next week. Though the patient didn’t ask for help, medical professionals must now broach the subject of suicide and find some way of intervening. This scenario, where an actionable diagnosis comes not from a doctor’s evaluation or family member’s concern, but an algorithm, is an imminent reality.

Innovative kidney matching process can improve success rates of kidney transplants

Innovative kidney matching process can improve success rates of kidney transplants

News Medical, September 6, 2018

A new study has sought to address the challenges of the kidney exchange program and introduced the concept of "failure-aware" algorithmic matching to improve success rates. The study, "Failure-Aware Kidney Exchange," was conducted by John Dickerson of the University of Maryland, and Ariel Procaccia and Tuomas Sandholm of Carnegie Mellon University, and published in the INFORMS journal Management Science.

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