Awesome, not awesome.
#Awesome
"Machine learning tools can identify sickle cell disease (SCD) patients at high risk of progressive kidney disease as early as six months in advance, a study shows.
Chronic kidney disease is more prevalent in SCD patients, who experience a faster decline in kidney function compared with the general population. As rapid kidney function decline in patients is associated with increased mortality, identifying those at risk early may help with timely use of preventive interventions." - Steve Bryson PhD, Writer Learn More from BioNews >
#Not Awesome
"The New York City Police Department has built a sprawling facial recognition network that may include more than 15,000 surveillance cameras in Manhattan, Brooklyn, and the Bronx, according to a massive crowdsourced investigation by Amnesty International.
“There has been a glaring lack of information around the NYPD’s use of facial recognition software—making it impossible for New Yorkers to know if and when their face is being tracked across the city,” Mahmoudi wrote. “The NYPD’s issues with systemic racism and discrimination are well-documented—so, too, is the technology’s bias against women and people of colour. Using FRT with images from thousands of cameras across the city risks amplifying racist policing, harassment of protesters, and could even lead to wrongful arrests.” - Todd Feathers, Journalist Learn More from VICE >
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