AI identifies pain levels from patient data
A research team led by Northwestern University faculty and alumni has found it’s possible to understand a patient’s pain level by examining data from vital signs.
In a new study, the team developed and applied artificial intelligence (AI), or machine-learning, algorithms to physiological data including respiratory rate, blood pressure, heart rate, body temperature and oxygen levels from patients with chronic pain from sickle cell disease. Not only did the researchers’ approach outperform baseline models to estimate subjective pain levels, it also detected changes in pain and atypical pain fluctuations.
The study was published March 11 in the journal PLOS Computational Biology. This is the first paper to demonstrate that machine learning can be used to find clues to pain hidden within data from patients’ vital signs.
Link Labs Launches AirFinder OnSite, Its Next-Generation IoT Asset Tracking Platform with Unprecedented Sub-meter Accuracy and Affordability
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Link Labs today announced the release of AirFinder OnSite, its next-generation IoT asset tracking platform for campus-based environments that dramatically improves accuracy and affordability. The most precise Bluetooth-based location technology available, AirFinder OnSite is offered initially to early adopters through Link Labs’ AirFinder Early Access Program. ANNAPOLIS, Md. (PRWEB) March 11, 2021
Link Labs, a leading provider of an end-to-end IoT platform for locating, managing and monitoring equipment, supplies and assets anywhere at any time, today announced the release of AirFinder OnSite™, its next-generation IoT asset tracking platform for campus-based environments that dramatically improves accuracy and affordability. AirFinder OnSite is the first ent
A new study demonstrates that machine-learning strategies can be applied to routinely collected physiological data, such as heart rate and blood pressure, to provide clues about pain levels in people with sickle cell disease. Mark Panaggio of Johns Hopkins University Applied Physics Laboratory and colleagues present these findings in the open-access journal PLOS Computational Biology.
Few celestial objects have fascinated humankind throughout history more than the Red Planet. For over a century, we ve longed to know more about Mars and the beings that we speculated lived there. When NASA dispelled the notion of creatures scurrying along the rusty plains, it raised a more tantalizing prospect: that
Mental Floss spoke to Kirby Runyon, a research scientist at the Johns Hopkins University Applied Physics Laboratory, and Tanya Harrison, the director of science strategy for Planet Labs, to learn more about the place your kids might live one day.
1. A Mars year lasts just under two Earth years.
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