Researchers at Georgia Tech have developed technology that can detect and determine differences between worms used in genetic research.
According to the recently published findings, worms are one of many tiny multi-cellular living beings that act as effective test subjects for researching genetics.
Using artificial intelligence–combined with advanced image processing–scientists are able to inspect and process these worms–known as Caenorhabditis elegans–more quickly and efficiently than in the past. With a camera that records 3D images of worms and compares them against a model of abnormal worms, the machine can not only tell the difference, but learns from it, teaching itself as it goes.
Picking out distinct factors better than humans can on their own, this technology highlights genetic mutations between the worms, which can be a key for unlocking further advances in genetic research and testing in humans in years to come.