machine learning algorithm designs antibodies to target specific diseases, then automated robotic systems build and grow them in lab, run tests, and feed data back into algorithm, all with limited human supervision.
machine learning algorithm designs antibodies to target specific diseases, then automated robotic systems build and grow them in lab, run tests, and feed data back into algorithm, all with limited human supervision.
It’s one of those situations where the lack of preconceived notions from a ml algorithm allows it to try a bunch of stuff humans would often discard off hand, which sometimes pans out.
It’s one of the best things about ML based systems that they can make mistakes faster than humans, so they can re-validate or correct our existing understanding of the topic.