In Maryland, National Institutes of Health’s National Human Genome Research Institute researchers used selfies combined with facial recognition software to successfully diagnose a rare genetic disease, 22q11.2 deletion syndrome, also called DiGeorge syndrome. Their success rate was an astonishing 96.6 percent accuracy rate using only photographs from people around the world of varying ethnicities. Over 100 photos were used from 11 countries for the study which looked at 126 specific facial features to diagnose the disease. The disease is difficult for doctors to diagnose since it relates to multiple defects like heart problems, hearing loss, cleft palate and other issues that the medical community doesn’t necessarily link to the rare genetic disease. This new way of diagnosing the disease could help patients get the right care much earlier on than they are now.
Latest article
Biobased sunglasses assist British special forces team with record-breaking Everest trek
In Nepal, four former British special forces soldiers were outfitted with bioplastic sunglasses from Teysha Technologies as they set a mountaineering record for traveling...
Diaper duty development: Hiro unveils nappy-eating fungi
In Texas, a startup has introduced a new diaper concept that aims to address one of the biggest challenges parents face: balancing sustainability with...
von Holzhausen creates “Ripple shoe” from proprietary renewable material
In California, sustainable material firm von Holzhausen has made a 100% biodegradable and plastic-free shoe from Liquidplant™, a polyurethane-like material developed in house out...