by Vyasa | Sep 6, 2018 | All, Life Sciences
Electronic Laboratory Notebooks (ELN’s) are widely used, excellent tools for capturing the work performed in laboratories across an organization on a daily basis. It is sometimes challenging though to gain a bird’s eye view of the information stored in...
by Vyasa | Sep 6, 2018 | All, Life Sciences
The DeepChem (deepchem.io) deep learning chemistry library is an analytical module set available in Vyasa Cortex. Originally created by Bharath Ramsundar (rbharath.github.io) at the Pande Lab (pande.stanford.edu), DeepChem provides a range of advanced approaches to...
by Vyasa | Sep 6, 2018 | All, Life Sciences
Vyasa has developed a proprietary deep learning algorithm for _de novo_ small compound design called ChemVector. ChemVector utilizes an autoencoder based neural network that can achieve >98% reconstruction accuracy on SMILES represented small compound structures along...
by Vyasa | Sep 6, 2018 | All, Life Sciences
Vyasa’s Neural Concept Recognition AI technology can train on concept types (e.g. drugs, diseases, pathways, conditions, side effects, genes) in structured and unstructured content. Once trained Cortex builds a dynamic knowledge graph of everything know about...
by Vyasa | Sep 6, 2018 | All, Life Sciences
There are numerous areas in the life sciences where people need to be able to classify images that are generated as part of large-scale efforts from cell assay screening, drug manufacturing all the way to post-market screening for counterfeit packaging and tablets....
