Patent Protection at the Intersection of Life Science and Computer Science
Within the last decade or so, computational technologies in machine learning and bioinformatics have been developed that are robust enough to leverage the large amounts of data that have been generated by advances in life science technologies for the diagnosis of disease, identification of viable therapeutics, and predicting patient response to treatments. However, the rapid technological development in this space along with uncertainty and inconsistency in patent law have resulted in a challenging environment for obtaining patent protection for these technologies. In this webinar, we will discuss strategies for navigating the challenges faced in drafting and prosecuting patent applications that cover technologies at the intersection of life science and computer science. Join us as Lea Westman and Trevor Lind discuss the growth of bioinformatics filings; patentable subject matter considerations under § 101; disclosure considerations under § 112; novelty and obviousness considerations, and more.
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Patent Protection at the Intersection of Life Science and Computer Science PPT