Credit: kras99/Adobe Stock Emerging Legal Terrain: IP Risks from AI's Role In Drug Discovery
This article explores the benefits and risks of AI-driven drug discovery from the legal perspective. Since the law governing IP rights in AI-driven drug discovery is still in its infant state, any future legal development is likely to have significant implications in many areas.
May 08, 2024 at 03:53 PM
22 minute read
What You Need to Know
- Drug discovery involving AI tools has quickly occupied significant territory in the pharmaceutical industry.
- Despite the values brought to the business, the rapid implementation of AI might have created unintended effects in law that could severely impact a pharmaceutical company's right to the drug.
- Understanding AI's role in the IP issues early in the drug discovery process will be vital to develop a holistic exclusivity strategy that maximizes a company's IP rights in light of AI involvement.
Drug discovery involving artificial intelligence (AI) tools has quickly occupied significant territory in the pharmaceutical industry. One study found that the number of startup drug candidate pipelines employing AI is roughly equivalent to 50% of the preclinical programs of big pharmaceutical firms. See, Jayatunga et al., "AI in Small-Molecule Drug Discovery: a Coming Wave?" Nature Reviews, March 2022. The prevalence of AI has generally led to significantly reduced drug discovery timelines. Current research data indicates that AI-driven discovery pipelines on average reach the preclinical phase within four years, compared to the conventional expectation of five to six years. Id.
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