As part of the CPhI webinar series, CAS and IQVIA join forces to deliver insights into optimizing Artificial Intelligence and Machine Learning for predictive analytics, clinical trials and drug discovery in response to COVID-19.
Getting Started in Data-Driven Chemical and Materials Discovery
Are you just getting started or ramping up machine learning for chemical and materials research? In this webinar, the panelists will discuss how to prepare for a new informatics project by exploring how to build useful data sets, identify missing capabilities, and communicate expectations.
Tracking Innovation: Microtrends in Global R&D Growth Reveal Risks and Opportunities
By any measure, global innovation is accelerating at a dizzying pace. R&D spending, global patent applications, venture capital investment volume, and the pace of technology M&A all reflect the increase in activity.
Markush structures: Opportunities and risks
Peter Blasi of CAS investigates the pros and cons of scientific intellectual property, specifically thinking about Markush structures and their complications under patent law.
Taking IP to the bank: Tech transfer pitfalls to avoid
Anne Marie Clark of CAS examines some common pitfalls and considerations required for successful tech transfer to the business community.
Capitalizing on home grown IP: A deeper look into global tech transfer
Anne Marie Clark of CAS discusses why companies are capitalizing on homegrown intellectual property, and takes a deeper look into the global tech transfer story.
Casting a wider net in the quest for hidden prior art
Matthew McBride of CAS continues his discussion on prior art searching, looking more closely at invalidity and rejection of modern patents and prior art resurfaced by digitization of hard-to-find materials.
Three keys to ensure a thorough prior art search
Matthew McBride investigates prior art searching, specifically considering three key points to ensure success is achieved.
Curation reveals hidden information for more effective IP searching
Lora Burgess of CAS discusses the ways curated content could improve your patent search by making it easier, more precise and less time consuming.