AI in Biotech and Synthetic Biology: What Can Be Protected? What Should Be Kept Secret?

Joshua D. Berk, Lily Zhang, and Terri Shieh-Newton, PhD of the law firm Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C. break down the various components associated with Biotech and Synthetic Biology inventions and discuss what's the best means of protecting them.

Machine learning (ML), bioinformatics, artificial intelligence (AI), and other computational tools have become ubiquitous in the biotech and synthetic biology industries because such technology allows for rapid processing of a large amount of complex data to produce advancements in therapeutics and diagnostics. As we previously discussed in Patenting Considerations for Artificial Intelligence in Biotech and Synthetic Biology Part 1 and Part 2, applications such as sequencing and functional genomics; drug design, discovery, and testing; pharmacology; big data analytics; cancer diagnosis; and target identification and designing constructs, have realized tremendous benefits due to the use of machine learning and AI. Thus, as the landscape becomes increasingly more competitive, it is important for companies, particularly in the aforementioned industries, to obtain patent protection for their AI-related technology.

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