Prof. Mats Karlsson, Ph.D.

Scientific Advisor & Board Member


  • Co-founded Pharmetheus in 2012, board member, and advising on drug development and pharmacometrics
  • Expertise includes methodological development and application of pharmacometrics to drug development and drug usage across therapeutic areas
  • Experience as Professor of Pharmacometrics at Uppsala University, Sweden, where he leads one of the world’s largest research groups in pharmacometrics. Previously, he worked as Professor of Biopharmaceutics and Pharmacokinetics at Uppsala University, Visiting Professor at Georgetown University, USA, Associate Professor at Uppsala University, Sweden, and as Postdoctoral Researcher at University of California, San Francisco, USA, Uppsala University, Sweden, and University of Glasgow, UK
  • M.Sc. in Pharmaceutical Sciences (1984) and Ph.D. in Pharmacokinetics (1989) from Uppsala University, Sweden
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Pharmetheus affiliated publications

Properties of the full random-effect modeling approach with missing covariate dataAn Introduction to the Full Random Effects ModelPopulation Repeated Time-to-Event Analysis of Exacerbations in Asthma Patients: A Novel Approach for Predicting Asthma Exacerbations Based on Biomarkers, Spirometry, and Diaries/QuestionnairesModeling and Simulation of the Modified Rankin Scale and National Institutes of Health Stroke Scale Neurological Endpoints in Intracerebral HemorrhagePopulation RTTE Analysis of Exacerbations in Asthma Patients: a Novel Approach for Predicting Asthma Exacerbations Based on Biomarkers, Spirometry and Diaries/QuestionnairesEnhancing Efficiency and Decision Quality in Parkinson’s Disease Drug Trials for LRRK2 Programs Using Item Response ModellingSensitivity of Pegfilgrastim Pharmacokinetic and Pharmacodynamic Parameters to Product Differences in Similarity StudiesModel Based Support to Biosimilarity Assessment Planning – A Case Study of PegfilgrastimImplicit and Efficient Handling of Missing Covariate Information Using Full Random Effects ModellingProperties of the Full Random Effect Modelling Approach With Missing CovariatesModelling and Simulation of Neurological Endpoints (Modified Rankin Scale [mRS] and National Institute of Health Stroke Scale [NIHSS]) to Aid Clinical Trial Design in Intracerebral Hemorrhage (ICH)