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Predicting mortality risks using smartphones

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Healthcare professionals have long recognized the association of physical activity with mortality risk—those who engage in more moderate-to-vigorous activity have lower mortality rates. In a new study, researchers across the University of Illinois Urbana-Champaign have shown that smartphones suffice to monitor people’s walking activity. They used sensor data from 100,000 participants to construct models of health status and mortality risk.

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Inexpensive, portable detector identifies pathogens in minutes

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Most viral test kits rely on labor- and time-intensive laboratory preparation and analysis techniques; for example, tests for the novel coronavirus can take days to detect the virus from nasal swabs. Now, researchers have demonstrated an inexpensive yet sensitive smartphone-based testing device for viral and bacterial pathogens that takes about 30 minutes to complete. The roughly $50 smartphone accessory could reduce the pressure on testing laboratories during a pandemic such as COVID-19.

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Cell phone software creates new possibilities for precision medicine

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Embedded in our society is a cultural memory of the old-time family doctor, a medical practitioner who knows of your family, your history, and your daily life, and uses that knowledge to provide the most optimal care. One Illinois faculty member and his research team have been working to move closer to that goal by exploiting a piece of familiar technology—the smartphone that can now be found in the average American’s pocket.

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New handheld spectral analyzer uses smartphone to detect disease

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Researchers at the University of Illinois at Urbana-Champaign have developed technology that enables a smartphone to perform lab-grade medical diagnostic tests that typically require large, expensive instruments. Costing only $550, the spectral transmission-reflectance-intensity (TRI)-Analyzer from Bioengineering and Electrical & Computer Engineering Professor Brian Cunningham's lab attaches to a smartphone and analyzes patient blood, urine, or saliva samples as reliably as clinic-based instruments that cost thousands of dollars.

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Movement analysis app detects level of lung disease

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Nearly 16 million Americans are afflicted with chronic obstructive pulmonary disease (COPD), a progressive disease where the lung gradually loses its ability to pump enough oxygen to the rest of the body. According to statistics published by the Centers for Disease Control and Prevention, COPD is the third-leading cause of death in the United States and only half of the actual cases are diagnosed.

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Cradle turns smartphone into handheld biosensor

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