Crowdsourcing Biological Specimen Identification

Technology that has linked people around the world for security, social and economic reasons, has yet to reach its potential for providing medical diagnosis for thousands of communities that lack basic healthcare.  Over 1.5 billion people have access to some rudimentary heath care, yet 4 billion others have none. With the advent of smartphones and crowdsourcing it may be possible to diagnose and then treat a range of critical illnesses in places currently lacking adequate medical facilities. However, an ultra-inexpensive microscope used with a smartphone has given rise to a proposed system, where a health care worker transmits the image of a specimen to a cloud server for examination by crowdsource volunteers, who, through consensus, form a diagnosis or specimen identification, which is communicated to the originator. Click here to read the Article: CARVALKOARTICLE