Synthetic biology routes to bio-artificial intelligence

Nesbeth, Darren N.; Zaikin, Alexey; Saka, Yasushi; Romano, M. Carmen; Giuraniuc, Claudiu V.; Kanakov, Oleg; Laptyeva, T. V.

doi:10.1042/ebc20160014

Cited by 43 publications

(32 citation statements)

References 44 publications

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“…It has been shown by T. Nakagaki for instant that even primitive systems like ciliates or slime are able to memorize and have learning capacities. Some authors start to think of BI (Bio-artificial Intelligence) after AI [Nesbeth et al, 2016] by looking at ways to implement learners with synthetic gene and protein networks. and asynchronous multi-valued networks.…”

Section: Resultsmentioning

confidence: 99%

Artificial Intelligence and Bioinformatics

Nicolas

2020

A Guided Tour of Artificial Intelligence Research

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Resultsmentioning

confidence: 99%

Artificial Intelligence and Bioinformatics

Nicolas

2020

A Guided Tour of Artificial Intelligence Research

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“…Artificial intelligence algorithms, especially machine learning, are being increasingly employed to examine biological data . We started utilizing these for pharmacometric analyses almost 10 years ago .…”

Section: Discussionmentioning

confidence: 99%

Supervised Machine-Learning Reveals That Old and Obese People Achieve Low Dapsone Concentrations

Hall

Pasipanodya

Swancutt

et al. 2017

CPT Pharmacometrics Syst. Pharmacol.

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The human species is becoming increasingly obese. Dapsone, which is extensively used across the globe for dermatological disorders, arachnid bites, and for treatment of several bacterial, fungal, and parasitic diseases, could be affected by obesity. We performed a clinical experiment, using optimal design, in volunteers weighing 44–150 kg, to identify the effect of obesity on dapsone pharmacokinetic parameters based on maximum‐likelihood solution via the expectation‐maximization algorithm. Artificial intelligence‐based multivariate adaptive regression splines were used for covariate selection, and identified weight and/or age as predictors of absorption, systemic clearance, and volume of distribution. These relationships occurred only between certain patient weight and age ranges, delimited by multiple hinges and regions of discontinuity, not identified by standard pharmacometric approaches. Older and obese people have lower drug concentrations after standard dosing, but with complex patterns. Given that efficacy is concentration‐dependent, optimal dapsone doses need to be personalized for obese patients.

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“…It is the biological version of electronic circuits. There is even now a biological implementation of methods from artificial intelligence such as formal neural networks (Nesbeth et al, 2016;Stano et al, 2018).…”

Section: A New Anthropological Figure: the Biocyborgmentioning

confidence: 99%

Human enhancement, biocyborg and self-experimentation: biopower in the age of synthetic biology and gene editing

Pio-Lopez¹

2020

Preprint

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Synthetic biology and gene editing opens new possibilities for human enhancement requiring ethical, societal and biopolitical considerations to evaluate its implications on the biopower and the human species. In this article, from a critical and exploratory analysis, we advocate that recent biotechnological developments allowed by synthetic biology (including gene editing) are transforming the line of forces of biopower and biopolitics. After having described the paradigm of life as an engineering discipline conveyed by synthetic biology, we first analyze using the concept of somatechnology that this technoscience is transforming the figure of the cyborg towards the biocyborg blurring the distinctions natural/artificial and man/machine. In second, we investigate the bioeconomy of enhancement and its effect on how the individuals developed new modes of subjectivation and how they consider their own bodies. We end the article by analysing the transformations of biopower with gene editing and the use of technologies of genetic self-modification by self-experimenters.

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Synthetic biology routes to bio-artificial intelligence

Cited by 43 publications

References 44 publications

Artificial Intelligence and Bioinformatics

Artificial Intelligence and Bioinformatics

Supervised Machine-Learning Reveals That Old and Obese People Achieve Low Dapsone Concentrations

Human enhancement, biocyborg and self-experimentation: biopower in the age of synthetic biology and gene editing

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