The convergence of AI and synthetic biology: the looming deluge
The convergence of AI and synthetic biology is revolutionizing biological discovery and engineering. This manuscript examines how AI-driven tools accelerate bioengineering workflows, unlocking innovations in medicine, agriculture, and sustainability. It also addresses dual-use risks, governance gaps, and ethical dilemmas posed by these advancements, proposing strategies for oversight and updated regulations. By exploring opportunities and risks, this work highlights the transformative potential of AI-driven synthetic biology and pathways for responsible development.
Authors
- Benjamin D. Trump (ORCID: https://orcid.org/0000-0002-4097-733X)
- Christopher L. Cummings (ORCID: https://orcid.org/0000-0002-3840-556X)
- Madison Smith (ORCID: https://orcid.org/0000-0002-1813-4053)
- Igor Linkov (ORCID: https://orcid.org/0000-0002-0823-8107)
- Eyup Turmus
- Valentina Prado
- Alexander J. Titus
- Ken Oye
- Cindy S. Groff-Vindman
Institutions
- University of Michigan (US)
- United States Army (US)
- Vancouver Spine Surgery Institute (CA)
- North Atlantic Treaty Organization (BE)
- Massachusetts Institute of Technology (US)
- Analysis Group (United States) (US)
- U.S. Army Engineer Research and Development Center (US)
Publication Details
- Journal
- npj Biomedical Innovations.
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1038/s44385-025-00021-1
- Citations
- 13
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 10.48
Funders
- U.S. Department of Defense