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			 An algorithm developed by researchers in Atlanta was able to 
			accurately pick up signs of anemia just from the coloration of 
			people's nailbeds, the team reports in Nature Communications. 
 "The bottom line is that we have created a way for anyone to be able 
			to screen themselves for anemia anytime, anywhere, without the need 
			to draw blood," said senior study author Dr. Wilbur Lam, an 
			associate professor of biomedical engineering and pediatrics at the 
			Georgia Institute of Technology and Emory University.
 
 Nearly 2 billion people in the world have anemia, according to the 
			World Health Organization. The condition is characterized by low 
			levels of hemoglobin, a molecule on red blood cells that carries 
			oxygen throughout the body. Anemia can be caused by nutritional 
			deficiencies or chronic illnesses like sickle cell disease and beta 
			thalassemia. Currently, diagnosis and monitoring require testing the 
			blood for hemoglobin levels.
 
			
			 
			
 The new app Lam and his colleagues are developing uses a form of 
			artificial intelligence to determine levels of hemoglobin by looking 
			at the color of a person's nailbeds.
 
 "Essentially, our algorithm learns from every time we feed it 
			another smartphone image of someone's fingernails with a hemoglobin 
			level attached to it," Lam said. "We've created a large database in 
			my clinics. We enroll patients who are already getting their blood 
			drawn to measure hemoglobin levels. Every time we do that, the 
			algorithm is getting smarter and smarter."
 
 The algorithm was developed by the study's lead author, Robert 
			Mannino, who has been one of Lam's patients since childhood. Now a 
			Ph.D. student at Georgia Tech and Emory, Mannino has a genetic 
			disorder that leads to chronic anemia and requires monthly 
			transfusions to keep his hemoglobin levels at a normal level. When 
			Mannino needed a dissertation topic, the choice seemed obvious. 
			"He's a brilliant computer programmer who is working on improving 
			the health of people with his own disease," Lam said.
 
 To determine how accurately the new app could detect anemia, the 
			researchers rounded up 100 volunteers, some of whom had anemia from 
			a variety of causes, and some with healthy hemoglobin levels.
 
 The volunteers downloaded the app and then took photos of their 
			fingernails. The app analyzed the images and compared them to the 
			ones it had "seen" before. Ultimately, the app was quite good at 
			detecting anemia, identifying 97 percent of the people who did have 
			the condition.
 
			
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			The app could be even more accurate, Lam said, if it was given one 
			hemoglobin reading paired with a photo for an individual patient. 
			With this accuracy level, the app would allow people with chronic 
			anemia issues to regularly and instantaneously monitor their 
			hemoglobin levels. 
			The app would be especially useful for certain groups of people, Lam 
			said. For example, "pregnant women are always at risk for anemia and 
			they know how bad it is for their babies," he said. "Now they can 
			test whenever they want."
 The app isn't ready for widespread use yet as the researchers are 
			continuing to refine it. But Lam thinks it might be available to the 
			general public by next spring.
 
 We're going to see more and more of technology aiding in patient 
			care, said Daniel Barchi, senior vice president and chief 
			information officer at NewYork-Presbyterian Hospital in New York 
			City.
 
			"I think we're generally going to find that technology, telemedicine 
			and artificial intelligence are going to replace many of the 
			functions we rely on physicians for today," said Barchi, who was not 
			involved in the new research. "And if technology can speed up 
			processes and relieve physicians from rote work and that allows them 
			to concentrate on higher processes, so much the better."
 A smart phone app that can analyze a fingernail photo and "be able 
			to diagnose anemia fairly accurately is a movement in the right 
			direction," said Dr. Rasu Shrestha, chief innovation officer at the 
			University of Pittsburgh Medical Center in Pennsylvania. "This is 
			part of a trend, I think, of moving healthcare closer to the 
			consumer."
 
			
			 
			
 The new app may offer a window on the kind of medical tasks our 
			phones will be able to take over, said Shrestha, who was not 
			involved in the study. "There's a wealth of data just waiting to be 
			unlocked."
 
 SOURCE: https://go.nature.com/2AQZyww Nature Communications, online 
			December 4, 2018.
 
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