Resources

Avoiding Costly IP Missteps: Insights for high-quality due diligence searches

Data, the cornerstone for successful digital transformation in R&D

How can you make smart investments that position your organization for success with today's technologies, such as deep learning, as well as the next breakthroughs? This blog will show you how building a solid data foundation is essential to long-term success in implementing digital technologies and how you can get started with smart investments today that will pay dividends long into the future.

CAS Partnership with INPI Brazil Demonstrates AI Success in Increasing Examiner Productivity​

In 2019 INPI Brazil faced a backlog of nearly 150,000 applications that averaged more than 10 years, significantly delaying innovation in Latin America’s largest economy. That year, the office adopted measures to reduce the total backlog by 80% over the next two years. ​

How CAS Repaired Incorrect Internal Data to Accelerate R&D Growth and Reduce Annual Expenses

Data silos compromise the value of digital assets and decrease efficiency. See how one company projected an annual savings of over $800,000 through harmonization and standardization of internal data.

How a Partnership Between Brazil Researchers and CAS Preserved Biodiversity Data

In this case study, learn how CAS collaborated with natural product researchers in Brazil to build an accessible data collection, representing over 54,000 substances from Brazilian biodiversity.

Emerging Trends in Drug Delivery

Emerging Trends in Drug Delivery is a CAS whitepaper which highlights four technologies that have shown particular growth in recent years and are expected to be key innovation areas in the future.

ICL Discovers New Uses for Waste Compounds with Better Data Connections

Repurposing chemicals requires first uncovering the right insights from vast amounts of research. This case study shows how CAS enabled the efficient discovery of application leads for 75% of ICL’s target byproduct compounds.

How Curated Training Sets from CAS Improved the Prediction Accuracy and Transferability of an AI Model

Utilizing only internal data can lead to the lack of specific electronic, structure and device properties required to generate innovative machine learning predictions. Learn how one company turned to custom-curated data to expand a limited view of the scientific landscape.

New findings reveal innovation in small molecule discovery is accelerating

Though an increasing number of novel chemical compounds are being synthesized each year, there is growing concern that innovation may be stagnating in small molecule discovery. However, new research published by CAS scientists in the October 2019 Journal of Organic Chemistry reveals that the pace of small molecule innovation is actually accelerating from a structural perspective and offers insights into finding fruitful new areas for further investigation as chemists navigate a vast and largely unexplored chemical space.