Technology in the service of health. Once again, technological progress has resulted in obvious benefits to humans; In this case, in health matters. a group of scientists has developed a robotic system based on artificial intelligence that automatically determines what are the optimal conditions for the replacement layers of the retina to grow Required in various treatments aimed at restoring vision.
During the last experiment, The system underwent a trial and error process covering a total of 200 million possible configurations and managed to dramatically improve cell culture viability Regenerative medicine is essential to the therapy. A feat that exemplifies how the automated design and execution of scientific experiments can increase the efficiency and speed of research in countless fields such as biology.
Autonomy, the key to regenerative medicine
Traditionally, research in regenerative medicine has required a number of experiments that require a great deal of time and work. especially, Creating specific tissues from stem cells – a process called induced cell differentiation – takes months of work, and the degree of success depends on a wide range of variables., Finding the optimal type, dosage and timing of reagents as well as optimal physical variables, such as cell transfer time or temperature, is difficult and requires an enormous amount of testing.
Thus, to make this process more efficient and practical, a research team led by Genki Kanda from the RIKEN Institute in Japan set out to Develop an autonomous experimental system that can determine optimal conditions and grow functional retinal pigment layers from stem cells, For this Retinal pigment epithelial cells were selected Because the degeneration of these cells is a common aging-related disorder that makes people unable to see. More importantly, transplanted retinal pigment epithelial layers have already shown some clinical success.
For autonomous experiments to be successful, the robot must perform the same series of precise movements and manipulations over and over again; And artificial intelligence, for its part, should be able to evaluate the results and prepare for the next experiment. The new system accomplishes these goals, thanks to a general-purpose humanoid robot called Maholo, which is capable of conducting high-precision biological experiments. Maholo to a. is controlled by software Artificial Intelligence that uses a newly designed optimization algorithm To determine which parameters should be changed, and how they should be changed, to improve the differentiation efficiency in the next round of experiments.
In what would have taken human researchers more than two and a half years, robotic systems with artificial intelligence took only 185 days. translate the Go from initial efficiency to 90% in resolution rate of 50% for experiment and improvement work Created by Robot.