2020
DOI: 10.1134/s1995078020010036
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Biocomputers: Problems They Solve, State of the Art, and Prospects

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Cited by 4 publications
(4 citation statements)
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“…This synergy between AI and organoids, highlights a possible future of biocomputing, integrating advanced biological models with cutting-edge computational technologies. Biologically-based computation faces challenges in standardization, control, and interfacing with digital systems, yet it holds promise for areas where traditional computing falls short [17,18,26,[31][32][33][34]. Despite its nascent stage, there exists much opportunity to explore this emerging domain.…”
Section: On Biocomputing and Organoidsmentioning
confidence: 99%
“…This synergy between AI and organoids, highlights a possible future of biocomputing, integrating advanced biological models with cutting-edge computational technologies. Biologically-based computation faces challenges in standardization, control, and interfacing with digital systems, yet it holds promise for areas where traditional computing falls short [17,18,26,[31][32][33][34]. Despite its nascent stage, there exists much opportunity to explore this emerging domain.…”
Section: On Biocomputing and Organoidsmentioning
confidence: 99%
“…The enhancement of cell-to-cell communications and the efficiency of taxis are related to the realization of computational procedures inside the cells [ 70 , 83 , 84 ]. Today, the most common approach is based on genetic logic circuits [ 13 , 64 ].…”
Section: Synthetic Biology Approaches For Microbial Cell-based Micror...mentioning
confidence: 99%
“…The number of logic gates in the single cell can be limited because of the usage of cellular recourse (amino acids, energy intermediates, etc. ), but computation can be separated between different cells with chemical communications for signal transfer [ 83 , 84 ]. Thus, combinations of cells with different goals can be discussed for some applications [ 61 ].…”
Section: Synthetic Biology Approaches For Microbial Cell-based Micror...mentioning
confidence: 99%
“…First, there is still no distinct set of particular computational problems that demonstrate a substantial superiority of a biocomputer over modern conventional computational systems. The second basic problem is that computations are slow, being limited by the rates of biochemical reactions" [10]. Other researchers echo this opinion that biocomputers might not likely be competitors to traditional computers in a number of areas, suggesting that the potential applications for biocomputing lie in biosensing, rather than in computation [11].…”
Section: Related Workmentioning
confidence: 99%