CCDC Selects Dotmatics to Support 2D Queries in its New Cambridge Structural Database Web Application
“We selected Dotmatics Elemental due to its intuitiveness and ease of use for 2D molecular sketching across all web-enabled devices,” said Pete Wood, Product Manager for CCDC’s CSD-System. “Dotmatics provides accessible chemical sketching appropriate for our wide range of users including educators, academic researchers and industrial scientists across a broad spectrum of chemistry.”
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
8th Edition of International Conference and Exhibition on Separation Techniques
Jul 29 - Jul 30, 2019
2nd International Conference on Biological & Pharmaceutical Sciences
Jul 12 - Jul 13, 2019