Protecting AI innovations in healthcare and life sciences
Bereskin & Parr LLP
Artificial intelligence (AI) has established itself as a key technology for advancing healthcare and the life sciences and promises to transform both R&D and patient care. However, the nature of AI poses a number of challenges for patent protection and commercialisation, including issues of patentability and inventorship as well as the disclosure of patient data and associated privacy concerns. Careful handling of AI-related intellectual property from the outset can help to secure a competitive advantage for your company’s technology in an increasingly competitive field.
Join this webinar to learn more about key topics at the interface of AI, healthcare and the life sciences and strategies for obtaining and managing AI-related intellectual property. Topics to be discussed include:
- Identifying inventions suitable for patent or trade secret protection
- Patentability of applications developed using existing AI development platforms
- Developing and using AI tools for biomedical research and drug development
- Subject-matter concerns and claims for diagnostic innovations
- Digital biomarkers and personal health devices
- What to include in a AI-related patent application, patient data and privacy concerns and when to file
- Jurisdictional considerations – where to pursue patent protection
Laurence MacPhie is a partner and lawyer at Bereskin & Parr LLP. He is a member of the firm's life sciences, AI and cannabis practice groups. He provides advice on patent strategy and opinions with respect to validity, infringement and freedom to operate. His practice focuses on drafting and prosecuting patent applications relating to molecular biology, genetic engineering, agriculture and plant-related technologies.
Isi Caulder is a partner, lawyer and patent agent at Bereskin & Parr LLP. She is a member of the firm's electrical and computer technology practice group and co-leader of the firm’s AI practice group. She guides technology companies developing and working with AI through the process of strategically capturing, managing and monetising their patent, design and other IP rights in North America and worldwide.