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Invisible machine-readable labels that identify and track objects

InfraredTags are invisible tags that can be embedded within the interior of objects fabricated on standard 3D printers. These tags, developed by Mustafa Doga Dogan, Stefanie Mueller, and colleagues at MIT CSAIL, could provide metadata for physical objects the way it is now available for digital files.
United States Yunyi Zhu Akshat Kumar Aakar Gupta Stefanie Mueller Fraser Anderson
Source: mit.edu

New insights about COVID-19 vaccination rates among people living with HIV

The AIDS Clinical Trials Group, the largest global HIV research network, which recently expanded its focus to include evaluating outpatient treatment for COVID-19, today announced that insights around COVID-19 vaccination rates among people living with HV have been published in the Journal of Infectious Diseases.
United States South Africa Puerto Rico Harvard School Of Public Health Judith Currier Michael Lu

Restaurant Tour

by jiyeon kim Last summer, as the global pandemic raged through Los Angeles, I decided to sort through boxes in my attic. Among the mementos I stumbled across were twenty issues of The Weekly Murmur: Tracings of Student Life, a newsletter published at HMS from October 2003 to April 2004. Reading them, I was touched, delighted, and amused; the articles were informal snapshots of my HMS and Harvard School of Dental Medicine classmates and captured our last year together prior to scatter...
Harvard School Of Dental Medicine United States United Kingdom Jamaica Plain City Of Vanderbilt Hall

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New AI Algorithm Predicts Adverse Cardiovascular Events

New AI Algorithm Predicts Adverse Cardiovascular Events Written by AZoRoboticsFeb 1 2021 The term coronary artery calcification refers to the accumulation of calcified plaque in the arterial walls of the heart. This condition is a crucial predictor of unfavorable cardiovascular events, including heart attacks. Image Credit: Roman Zaiets/shutterstock While computed tomography (CT) scans can help detect coronary calcium, measuring the amount of plaque needs time, dedicated equipment, and radiolo...
United States Roman Zeleznik Roman Zaiets Hugo Aerts Michael Lu Udo Hoffmann

Novel deep learning system can predict cardiovascular risk from CT scans

Novel deep learning system can predict cardiovascular risk from CT scans Coronary artery calcification -- the buildup of calcified plaque in the walls of the hearts arteries -- is an important predictor of adverse cardiovascular events like heart attacks. Coronary calcium can be detected by computed tomography (CT) scans, but quantifying the amount of plaque requires radiological expertise, time and specialized equipment. In practice, even though chest CT scans are fairly common, calcium score ...
United States Roman Zeleznik Hugo Aerts Udo Hoffmann Michael Lu Emily Henderson

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