China
Africa
Explore chapters and articles related to this topic
Transition of Bio-manufacturing Industry from 4.0 to 5.0
Published in Pau Loke Show, Kit Wayne Chew, Tau Chuan Ling, The Prospect of Industry 5.0 in Biomanufacturing, 2021
Zahid Majeed, Muhammad Mubashir, Meng-Choung Chiong
Emerging techniques of chemical synthesis and assembly, applied to biological processes, parts and systems make synthetic biology capable of modifying extant biological cells but more interestingly building synthetic cells, synthetic genome transplantation (Strychalski et al. 2016) and/or through the construction of chemical models (Luisi, Ferri, and Stano 2006). Synthetic biology succeeds in incorporating in these systems self-regulating mechanisms of biological self-organization and self-production with interest for AI (Damiano and Stano 2018). Figure 2.3.2 shows the computer engineered-inspired hierarchy for synthetic biology (Andrianantoandro et al. 2006). Referring to Figure 2.3.2, a synthetic biology starting point is to consider biological organisms as systems composed by interconnected parts, in analogy with electronic systems composed by individual components (Andrianantoandro et al. 2006). Furthermore, application of new models of biological materials is very much linked with driving inter-sectorial, interdisciplinary connection, materials science, associated science and AI technology sectors are the significant issues to apply the materials from biological point (Le Feuvre and Scrutton 2018).
Artificial Intelligence in Systems Biology
Published in P. Kaliraj, T. Devi, Artificial Intelligence Theory, Models, and Applications, 2021
S. Dhivya, S. Hari Priya, R. Sathishkumar
Recent application of AI technology in cybernetics deals with two complementary issues, (1) AI in systems biology have helped to formulate theories, methods, algorithms, and helps to generate big data and its implications for a given task; (2) furthermore, biological systems are so complex it needs inter- and transdisciplinary expertise to understand the principles. Thus, the interdisciplinary collaboration will yield the solution for the unresolved questions (Urban et al., 2013). “Systems biology is a universal approach to decipher the intricacy of biological systems while synthetic biology or artificial biology is a blend of engineering and biological sciences with an idea to generate novel biological models” (Bera, 2019).
Taking knowledge production seriously in responsible research and innovation
Published in Journal of Responsible Innovation, 2021
Robert D.J. Smith, Zara Thokozani Kamwendo, Anja Berndt, Jamie Parkin
The ERA-NET Cofund on Biotechnology, ERA CoBioTech, is a life science funding programme constituted by several regional and national funding organisations, and supported under the European Commission Framework Programme (Grant Agreement 722361). Its stated aims are to unify previous ERA-NET funding programmes in systems biology, synthetic biology and industrial biotechnology; to leverage these fields and their inventions as technology drivers for a bio-based economy; and to do this in a way that demonstrates the public benefit of the life sciences. Between 2016 and 2021 the programme will disburse about €45m to multinational research consortia through its funding calls. However, the programme is constituted not just by its scientific research projects but also by a cluster of work packages through which the funders attempt to create space for the exchange of administrative knowledge. As part of this backstage work, the UK Research and Innovation Biotechnology and Biological Sciences Research Council (UKRI-BBSRC) led the development of a Strategic Innovation and Research Agenda (Berndt and Dayman 2018) with an associated Agenda for RRI (Smith 2019), delivered through a consultancy contract.
Anticipating risks, governance needs, and public perceptions of de-extinction
Published in Journal of Responsible Innovation, 2019
Rene X. Valdez, Jennifer Kuzma, Christopher L. Cummings, M. Nils Peterson
Expert elicitation is commonly used in emerging fields where data and information is limited, and uncertainty is high (Fiorese et al. 2013). We used expert elicitation because this approach is ideal for studies seeking to identify a range of opinions, evaluate scientific evidence or risks, and examine governance options (Morgan, Henrion, and Small 1990). We conducted purposive sampling to recruit experts from multiple disciplinary fields. We compiled an initial list of potential participants by reviewing speakers who attended the following three conferences: Biobricks Foundation SB6.0: The Sixth International Meeting on Synthetic Biology, SynBioBeta Conference for Synthetic Biology Startup Companies, Georgia Tech Frontier in Systems and Synthetic Biology. Subsequently, additional potential participants were drawn from the editorial board of the peer-reviewed journal, Bioengineering and Biotechnology. Invitations were sent to 234 experts, and forty-eight individuals agreed to participate. These participants are actively involved in biotechnology innovation or study the socio-political, ethical, economic, cultural, policy, or regulatory contexts of biotechnology (Kuzma 2016; Frewer et al. 2013; Vàzquez-Salat et al. 2012; Borup et al. 2006) and are thus well suited for anticipating the future impacts, dilemmas, and governance needs of de-extinction.