Dr. Jacqueline Lui, President of Eagle IP Limited, gave a lecture to the students of the course Commercialization of Biotechnology Products at the Department of Applied Biology and Chemical Technology of The Hong Kong Polytechnic University.
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China’s Newest Examination Guidelines: Novelty and Inventive Step for Compounds (Part II)
29 April 2021This is Part II of a three-part series summarizing the Examination Guidelines that were released by the CNIPA on January 15, 2021, one year to the date of Phase 1 of the US and China Economic and Trade Agreement. That agreement included specific provisions where China "shall permit pharmaceutical patent applicants to rely on supplemental […]
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China Proposes New Examination Guidelines for Utility Models
24 November 2022The Utility Model (UM) in China has always been a popular choice for patent filing due to its relatively low cost and speed of prosecution. The UM prosecution only includes a preliminary examination, which is essentially a mini (stripped down) version of an invention application’s substantive examination.[1] With the simplified examination process, UMs are typically […]
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Why Do Examiners Fail to Recognize the Importance of my “Parameter Features”?
28 May 2025The Impact of Parameter Features on Inventiveness ”Parameter features” – numerical or mathematical expressions that define the quantity or physical properties of a subject – frequently appear as technical features within a claim. Often described as numerical ranges or measurements, they frequently play a critical role in addressing technical problems. However, in practice, Examiners and […]
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AI is magical but NOT magic! Be specific in your AI patents!
9 January 2025What is the standard of sufficient disclosure for AI-related patents: A case study in China The rapid growth of AI patent applications present significant challenges to existing patent application and examination practices. One of them is satisfying the requirement for sufficient disclosure. The following case was featured in the 2023 CNIPA Compilation of Key Decisions […]
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