News-Medical.Net June 29, 2022
A joint research group led by Genki Kanda at the RIKEN Center for Biosystems Dynamics Research (BDR) has developed a robotic artificial intelligence (AI) system for autonomously determining the optimal conditions for growing replacement retina layers necessary for vision.
The AI controlled a trial and error process spanning 200 million possible conditions that succeeded in improving cell culture recipes used in regenerative medicine. This achievement, published in the scientific journal eLife on June 28, is just one example of how the automated design and execution of scientific experiments can increase the efficiency and speed of life science research in general.
Research in regenerative medicine often requires numerous experiments that are both time-consuming and labor-intensive. In particular, creating specific tissue from...
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