CAS is launching a collaboration with Mana.bio to enrich their proprietary database to fuel its AI engine, with an expected 70% reduction in resources allocated to molecular data acquisition and preparation.
April19 and CAS collaborate to accelerate real-world application of AI to discovery of novel mental health therapeutics. Pairing curated data and advanced analytics with deep learning approach to drug discovery shortens pipeline and reduces cost.
CAS announces significant enhancements to the predictive retrosynthetic capabilities in SciFinderⁿ. The enhanced platform uses state-of-the-art AI technology to improve both accuracy and innovativeness of predicted results.
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.
Launch of the Pistoia Alliance Chemical Safety Library, powered by a new CAS platform, facilitates information sharing between scientists to improve laboratory safety by providing access to critical crowd-sourced reaction hazard information to reduce incidents.
AI and machine learning models aid in retrosynthetic planning, but are limited by the training data they have seen. Read on to learn about ways to generate novel predictions by ensuring your data has the necessary diversity and quality to optimize key synthetic planning initiatives.