Impact of Artificial Intelligence in Detection of Patent Requirements for Specific Vaccines During the Pandemic: A Study

The COVID-19 pandemic, which started in late 2019, caused a global health emergency that required the rapid development of vaccines. It also emphasized the important role patents play in both encouraging innovation and ensuring access to these crucial developments. This study examines the intersection of artificial intelligence (AI) and patent systems during the pandemic, focusing on how AI subfields like Natural Language Processing (NLP) and Machine Learning (ML) can enhance patent detection, analysis, and the overall patent application process. The paper explores traditional patent requirements, the challenges faced during pandemics, and the potential of AI to revolutionize the management of Intellectual Property (IP) in vaccine development. Case studies on COVID-19 vaccine patents reveal the tension between IP protection and equitable access to life-saving technologies. Additionally, the study discusses the legal and ethical considerations of integrating AI in patent systems, the importance of global collaboration, and the need for adaptive IP policies in response to health crises. The paper concludes by addressing the challenges and limitations of AI in patent management and outlines future research directions to optimize AI's role in fostering innovation while ensuring fair and transparent patent processes.