A collection of feature articles, case studies, and whitepapers from CAS. News and trends spanning scientific research and information technology.
Resources
A collection of feature articles, case studies, and whitepapers from CAS. News and trends spanning scientific research and information technology.

Resources Index
Five key steps to getting started in chemical and materials informatics
Combining intuition with data is far more powerful than intuition alone. So whether your organization is just getting started with Machine Learning (ML) or already ramping up an ML program, these recommendations will aid the success of your informatics journey.
Impact of COVID-19: AI and Machine Learning Solutions
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.
How to Maximize the Strategic Value of Formulations Data in Pharma
This whitepaper discusses how pharmaceutical companies can maximize the strategic value of formulations data to shorten development times, stay ahead of competition, and position themselves for success.
CAS Releases Special Report Highlighting COVID-19 Diagnostic Test Research
CAS has issued a special report in ACS Central Science titled “Assay Techniques and Test Development for COVID-19 Diagnosis.” This report provides a detailed overview of COVID-19 diagnostic tests, trends, and resources.
Recent advances support scalability of COVID-19 diagnostic testing
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, continues to grip the world. Large-scale testing is required for countries to successfully limit infections and mortality rates, and is key to easing many lockdown restrictions. In this unprecedented crisis, every hour matters when it comes to identifying and preventing further spread of this virus.
Curated Training Sets for Innovative AI Predictions
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.
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.
In This Together: CAS Joining Forces with Researchers and Data Scientists to Accelerate COVID-19 Treatments
With millions of confirmed COVID-19 cases, and many more likely going untested, researchers around the world are racing to find solutions to this daunting challenge. Approved drugs are being explored as treatments for those afflicted, vaccines to prevent the long-term spread are in development, as well as many other efforts beyond drug discovery. To keep frontline healthcare professionals safe, manufacturers are reimagining production processes to make critical supplies, such as hand sanitizer and mask filters, testing methods are being optimized to be faster and more accurate, materials for new germ-resistant masks are being developed and new systems to sterilize medical equipment are being designed.
CAS Releases Open Access Dataset of Antiviral Chemical Compounds to Aid COVID-19 Discovery and Analysis
CAS has released an open access dataset of chemical compounds with known or potential antiviral activity to support COVID-19 research and data mining. The dataset contains nearly 50,000 chemical substances assembled from the CAS REGISTRY® that have antiviral activity reported in published literature or are structurally similar to known antivirals. Available to download now.