Harnessing the power of AI can lead to novel discoveries and innovations in the life sciences, creating complex scenarios for patentability, IP rights, and ownership. As algorithms and machine driven processes influence drug development, diagnostics, and personalized treatments, there’s an urgent need to understanding the distinct IP challenges that arise, ensuring that IP is both protected and preserved.

Topics of discussion will include:

• IP Challenges in AI for Life Sciences
• Exploring common and complex IP concerns and challenges specific to AI in the life sciences
• Examining case studies highlighting real-world IP disputes relative to AI and lessons learned
• Trademarks, Copyrights, and Branding in AI
• Establishing how trademarks and copyrights intersect with AI technologies in the life sciences
• Understanding the role of copyrights in AI algorithms and the thorny questions this presents for the life sciences industry
• Patenting AI in Life Sciences
• Developing strategies for drafting robust patent applications for AI inventions in the life sciences
• Trade Secrets and AI
• Safeguarding proprietary AI algorithms and data as trade secrets
• Best practices for maintaining secrecy and competitive advantage
• Data Privacy and IP
• Understanding the interplay between data privacy regulations (e.g., GDPR) and IP considerations
• Ensuring compliance while protecting data-driven innovations
• Ethical Considerations
• Examining ethical considerations related to AI and IP in life sciences
• Maintaining transparency and fairness in innovation