Automated machine learning robot unlocks new potential for genetics research

University of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.

"This new process is more robust and reproducible than manual injections," said Suhasa Kodandaramaiah, a University of Minnesota mechanical engineering associate professor and senior author of the study."With this model, individual laboratories will be able to think of new experiments that you couldn't do without this type of technology."

Not only can this technology be used in genetic experiments, but it can also help to preserve endangered species through cryopreservation, a preservation technique conducted at ultra-low temperatures. "We hope that this technology could eventually be used for in vitro fertilization, where you could detect those eggs on the microscale level," said Andrew Alegria, co-lead author on the paper and University of Minnesota mechanical engineering graduate research assistant in the Biosensing and Biorobotics Lab.Andrew D Alegria, Amey S Joshi, Jorge Blanco Mendana, Kanav Khosla, Kieran T Smith, Benjamin Auch, Margaret Donovan, John Bischof, Daryl M Gohl, Suhasa B Kodandaramaiah.

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Source: physorg_com - 🏆 388. / 55 Read more »

Automated machine learning robot unlocks new potential for genetics researchUniversity of Minnesota Twin Cities researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.
Source: physorg_com - 🏆 388. / 55 Read more »