news, journals and articles from all over the world.
Every major medical center in America sits on a gold mine of patient data that could be worth millions of dollars to companies that could use it to develop new treatments and technologies. A new framework could help them do so more responsibly, going beyond the minimum legal requirements and respecting patients by giving them more say in how their individual data may be used.
Read moreResearchers who have parsed minimum-wage increases over the past half-decade find a mixed bag of immediate results in states that push wages higher, but the pandemic-roiled economy changes all that, they say.
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ISPOR concluded its Virtual ISPOR 2020 conference yesterday—its first completely virtual conference. The conference was redesigned as an online event when the COVID-19 pandemic required a necessary cancellation of the in-person conference.
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Researchers at Columbia Engineering and the University of South Carolina have developed a method that combines big data and machine learning to selectively design gas-filtering polymer membranes to reduce greenhouse gas emissions. Their study, published today in Science Advances, is the first to apply an experimentally validated machine learning method to rapidly design and develop advanced gas separation membranes.
Read moreThe Deep Underground Neutrino Experiment will collect massive amounts of data from star-born and terrestrial neutrinos. A worldwide network of computers will provide the infrastructure to help analyze it. Using artificial intelligence and machine learning, scientists write software to mine the data.
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For an experiment that will generate big data at unprecedented rates, physicists led design, development, mass production and delivery of an upgrade of novel particle detectors and state-of-the art electronics.
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ISPOR—The Professional Society for Health Economics and Outcomes Research (HEOR) announced today the program and speakers for Virtual ISPOR 2020.
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To better understand early signs of coronavirus and the virus’ spread, physicians around the country and data scientists at UC San Diego are working together to use a wearable device to monitor more than 12,000 people, including thousands of healthcare workers. The effort has started at hospitals in the San Francisco Bay Area and at the University of West Virginia.
A method of predicting the coronavirus spread – pioneered and developed by Weizmann Institute scientists – may enable authorities to focus efforts on areas where an outbreak is anticipated and relieve measures taken in others. Several countries, including the U.S., are adopting the new method
Your doctor protects your sensitive health data. But in a new publication, experts assert it’s important to check if that app you just downloaded will, too.
Read moreSepsis causes nearly 270,000 deaths in the United States each year. Find out how big data approaches are helping clinicians catch it sooner, treat it better, and help survivors cope with long-term effects.
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