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Expert Opinion on Drug Discovery|May 31, 2021
The machine learning life cycle and the cloud: implications for drug discoveryOla Spjuth, Jens Frid, Andreas HellanderNanomedicine (London, England)|May 5, 2021
Deep-learning models for lipid nanoparticle-based drug deliveryPhilip J Harrison, Håkan Wieslander, Alan Sabirsh, et al.Gigascience|March 19, 2021
Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE ToolkitBen Blamey, Salman Toor, Martin Dahlö, et al.Mini Reviews in Medicinal Chemistry|October 6, 2012
On mechanisms of reactive metabolite formation from drugsAlf Claesson, Ola SpjuthThe Journal of Chemical Physics|April 25, 2008
Efficient computation of transient solutions of the chemical master equation based on uniformization and quasi-Monte CarloAndreas HellanderCurrent Opinion in Structural Biology|May 26, 2024
Artificial intelligence for high content imaging in drug discoveryJordi Carreras-Puigvert, Ola SpjuthJournal of Cheminformatics|October 3, 2021
Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learningUlf Norinder, Ola Spjuth, Fredrik SvenssonBioinformatics (Oxford, England)|June 7, 2013
WhichCyp: prediction of cytochromes P450 inhibitionMichal Rostkowski, Ola Spjuth, Patrik RydbergMolecules (Basel, Switzerland)|April 30, 2021
Advances in Predictions of Oral Bioavailability of Candidate Drugs in Man with New Machine Learning MethodologyUrban Fagerholm, Sven Hellberg, Ola SpjuthJournal of Pharmaceutical Sciences|July 6, 2022
The Impact of Reference Data Selection for the Prediction Accuracy of Intrinsic Hepatic Metabolic ClearanceUrban Fagerholm, Ola Spjuth, Sven HellbergPageof 17