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
You better be-leaf it: Dawn Bio cultivates wood in a petri dish
In the Netherlands, a startup based at Wageningen University’s campus is pioneering technology to produce wood from cultured cells.
Dubbed Dawn Bio, the company has...
Algae-based snowboards from WNDR get nod from Time Magazine
In Utah, WNDR Alpine’s algae-based snowboards have been named to Time Magazine’s top 200 inventions list.
Unlike most snowboards, which are made out of petroleum-based...
Prince William’s Earthshot Prize names seaweed firm Coast 4C as a finalist
In Australia, a startup sustainably cultivating seaweed has been chosen as a finalist for Prince William’s 2024 Earthshot Prize.
Coast 4C works with farmers in...