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Optibrium expands operations in North America for AI and computational drug discovery technologies
Read MoreJ.Med.Chem publish; Predicting Regioselectivity of AO, CYP, FMO and UGT Metabolism Using Quantum Mechanical Simulations and Machine Learning
Read MoreOptibrium strengthens global AI drug discovery software operations with three key appointments
Read MorePrediction of In Vivo Pharmacokinetic Parameters and Time− Exposure Curves in Rats Using Machine Learning from the Chemical Structure
Read MoreOptibrium Adds Augmented Intelligence for Compound Design to its StarDrop Small Molecule Drug Discovery Software
Read MoreOptibrium Shows Deep Learning to Successfully Predict Human Panel-based Sensory Perception of Novel Compounds Used for Flavours and Fragrances
Read MoreJ.Med.Chem publish; Experimental Validation of Predictive Models in a Series of Novel Antimalarials
Read MoreOptibrium Launches Cerella™, a Novel Artificial Intelligence Platform for Active Learning in Drug Discovery
Read MorePeer-reviewed Study by Optibrium Demonstrates the Value of Deep Learning for Imputation of Drug Discovery Data
Read MoreOptibrium and North Carolina School of Science and Mathematics mark five years of education collaboration with summer school ‘Computing COVID-19’
Read MoreOptibrium and Intellegens achieve further success in Open Source Malaria initiative with in vitro validation of in silico generated compound
Read MoreOptibrium appoints Dr Tim Hohm as Director of Commercial Strategy and Business Development
Read MoreOptibrium and Intellegens celebrate success in global challenge to find novel antimalarial compounds
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