GeekWire Calendar
Meetups, conferences, startup events, and geeky gatherings in the Pacific Northwest and beyond. Browse for local tech events, or search by date or keyword. Submit your event below for consideration for the GeekWire Calendar. Look for highlights from the GeekWire Calendar each week on GeekWire, and check out GeekWire's own unique series of signature tech events in the Seattle region.
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AI Trends in Life Sciences and Patent Protection
April 26 @ 11:00 am – 2:00 pm
Are you an inventor or researcher in the life sciences or medical device space looking to learn more about intellectual property issues? Life Science Washington Institute invites you to participate in the next Intellectual Property Symposium on April 26th. This free symposium offers an in-depth examination of IP topics, focusing on consequences for new businesses, developing industries, and established corporations.
We will explore the many facets of patentability throughout this symposium, illuminating the particular elements of your innovation that might or might not qualify for patent protection.
USPTO: Intellectual Property 101
Unfamiliar with patents, trademarks, copyrights, and/or trade secrets? Learn about intellectual property (IP) basics and potential ways to protect your innovations as you transition from idea to product. The session will cover:
What is the USPTO?
An overview of intellectual property types: patents, trademarks, copyrights, and trade secrets
Why innovators and entrepreneurs should consider protecting their IP
How to get started in protecting your intellectual property.
Keynote: The convergence of artificial intelligence (AI) and pharmaceuticals has heralded a new era of drug development, promising groundbreaking innovations in treatment modalities. We will examine key AI trends such as machine learning and discuss their implications for patenting strategies and issues related to AI-generated drug inventions. This presentation also discusses the intricate regulatory landscape governing AI-generated drug innovations, exploring key FDA regulations, guidelines, and pathways applicable to their development, approval, and market entry, which are important for developers and stakeholders to advance AI-generated drug compositions from concept to commercialization, ultimately advancing patient care and therapeutic outcomes.
