As hospitals walk the tightrope of patient data-sharing, one system offers a new balance

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.

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Using Big Data to Design Gas Separation Membranes

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.

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Major upgrades of particle detectors and electronics prepare CERN experiment to stream a data tsunami

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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Researchers work on early warning system for COVID-19

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.

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Staying Two Steps Ahead of the Coronavirus

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

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