One of the growing public health concerns this year is the Bird flu, or avian influenza A(H5N1) 2.3.4.4b clade virus, which has been circulating in the Americas since 2022.
Medicine is one of humanity’s greatest information-processing challenges. Understanding and repairing the human body requires synthesizing vast amounts of interconnected knowledge and information while making high-stakes decisions.
As many as one in four Americans will place a bet on this year’s March Madness tournament. For some, it will be the first time they place a bet using a user-friendly, totally legal, app…
It’s time to fill your bracket and brush up on your ball-knowledge: March Madness is here. The iconic college basketball tournament has been a staple of the sports calendar for nearly a century, but the…
Between Feb. 19-26, shares for the telehealth company Hims & Hers Health, Inc. plummeted. The reason for the sudden drop in its stock price? An FDA announcement that semaglutide injection products, the GLP-1 medication in…
Transparency rules in clinical trials attempt to strike a balance between ensuring essential safety and efficacy data reaches the public, and preserving truly proprietary information that fosters innovation.
How do we know what is healthy? Given the link between healthy eating patterns and diet-related diseases, consumers need accurate information to make informed choices about which foods they should purchase.
Picture a world where a patient suffering from a debilitating neurological disorder receives not only a diagnosis but also a bespoke brain implant designed to restore lost function.
On Dec. 13, 2024, then-President-Elect Donald Trump posted on Truth Social, “The Republican Party will use its best efforts to eliminate Daylight Saving Time… Daylight Saving Time is inconvenient, and very costly to our Nation.”
Imagine you’re a researcher developing an AI model, such as an algorithm or other computer process, that can predict early-stage cancer using data from thousands of patient records. You’ve been careful anonymizing datasets, following ethical…
