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Papers on behalf of DDMoRe

  1. PharmML in Action: an Interoperable Language for Modeling and Simulation. Bizzotto R, Comets E, Smith G, Yvon F, Kristensen NR, Swat MJ. CPT: Pharmacometrics Syst Pharmacol. 2017
  2. Model Description Language (MDL): A Standard for Modeling and Simulation. Smith MK, Moodie SL, Bizzotto R, Blaudez E, Borella E, Carrara L, Chan P, Chenel M, Comets E, Gieschke R, Harling K, Harnisch L, Hartung N, Hooker AC, Karlsson MO, Kaye R, Kloft C, Kokash N, Lavielle M, Lestini G, Magni P, Mari A, Mentré F, Muselle C, Nordgren R, Nyberg HB, Parra-Guillén ZP, Pasotti L, Rode-Kristensen N, Sardu ML, Smith GR, Swat MJ, Terranova N, Yngman G, Yvon F, Holford N; DDMoRe consortium CPT: Pharmacometrics Syst Pharmacol. 2017
  3. Thoughtflow: Standards and Tools for Provenance Capture and Workflow Definition to Support Model-Informed Drug Discovery and Development. Wilkins JJ, Chan P, Chard J, Smith G, Smith MK, Beer M, Dunn A, Flandorfer C, Franklin C, Gomeni R, Harnisch L, Kaye R, Moodie S, Sardu ML, Wang E, Watson E, Wolstencroft K, Cheung S; DDMoRe Consortium. CPT: Pharmacometrics Syst Pharmacol. 2017, 5, 285-292
  4. ProbOnto – Ontology and Knowledge Base of Probability Distributions. Maciej J Swat, Pierre Grenon, Sarala Wimalaratne. Bioinformatics 2016. April 3
  5. Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development. MJ Swat, S Moodie, SM Wimalaratne, NR Kristensen, M Lavielle, A Mari, P Magni, MK Smith, R Bizzotto, L Pasotti, E Mezzalana, E Comets, C Sarr, N Terranova, E Blaudez, P Chan, J Chard, K Chatel, M Chenel, D Edwards, C Franklin, T Giorgino, M Glont, P Girard, P Grenon, K Harling, AC Hooker, R Kaye, R Keizer, C Kloft, JN Kok, N Kokash, C Laibe, C Laveille, G Lestini, F Mentré, A Munafo, R Nordgren, HB Nyberg, ZP Parra-Guillen, E Plan, B Ribba, G Smith, IF Trocóniz, F Yvon, PA Milligan, L Harnisch, M Karlsson, H Hermjakob and N Le Novère, CPT: Pharmacometrics & Systems Pharmacology, 2015, 4, 316-319
  6. A Review of Mixed-Effects Models of Tumor Growth and Effects of Anticancer Drug Treatment Used in Population Analysis. B Ribba, N H Holford, P Magni, I Trocóniz, I Gueorguieva, P Girard,C Sarr, M Elishmereni, C Kloft and L E Friberg, CPT: Pharmacometrics & Systems Pharmacology, 2014, 3, e113, doi:10.1038/psp.2014.12
  7. Current Use and Developments Needed for Optimal Design in Pharmacometrics: A study Performed Among DDMoRe's European Federation of Pharmaceutical Industries and Associations Members. F Mentré, M Chenel, E Comets, J Grevel, A Hooker, MO Karlsson, M Lavielle and I Gueorguieva. CPT: Pharmacometrics & Systems Pharmacology 2013, 2, e46
  8. White Paper: Landscape on Technical and Conceptual Requirements and Competence Framework in Drug/Disease Modeling and Simulation. G Vlasakakis, E Comets, A Keunecke, I Gueorguieva, P Magni, N Terranova, O Della Pasqua, E C de Lange and C Kloft.  CPT: Pharmacometrics & Systems Pharmacology 2013, 2, e40
  9. Drug and Disease Model Resources: A Consortium to Create Standards and Tools to Enhance Model-Based Drug development. L. Harnisch, I. Matthews, J. Chard and M.O. Karlsson on behalf of the DDMoRe consortium Partners and Contributors.  CPT: Pharmacometrics & Systems Pharmacology 2013, 2, e34


Papers related to DDMoRe
Good Practices in Model-Informed Drug Discovery andDevelopment: Practice, Application, and Documentation. EFPIA MID3 Workgroup: SF Marshall, R Burghaus, V Cosson, SYA Cheung, M Chenel, O DellaPasqua, N Frey,B Hamren, L Harnisch, F Ivanow, T Kerbusch, J Lippert, PA Milligan, S Rohou, A Staab, JL Steimer, C Tornøe and SAG Visser CPT: Pharmacometrics & Systems Pharmacology 2016, 5, 93–122

Papers supported by DDMoRe

  1. dOFV distributions: a new diagnostic for the adequacy of parameter uncertainty in nonlinear mixed-effects models applied to the bootstrap. Dosne, A., Niebecker, R. & Karlsson, MO. J Pharmacokinet Pharmacodyn 2016 [Epub ahead of print]
  2. Improving the estimation of parameter uncertainty distributions in nonlinear mixed effects models using sampling importance resampling. Dosne AG, Bergstrand M, Harling K, Karlsson MO. J Pharmacokinet Pharmacodyn 2016 [Epub ahead of print]
  3. Methods for Predicting Diabetes Phase III Efficacy Outcome From Early Data: Superior Performance Obtained Using Longitudinal Approaches. JB Møller, NR Kristensen, S Klim, MO Karlsson, SH Ingwersen
    and MC Kjellsson CPT Pharmacometrics & Systems Pharmacology ERRATUM 2016 5, 388–389
  4. A whole-body physiologically based pharmacokinetic (WB-PBPK) model of ciprofloxacin: a step towards predicting bacterial killing at sites of infection.Muhammad W. Sadiq, Elisabet I. Nielsen, Dalia Khachman, Jean-Marie Conil,  Bernard Georges, Georges Houin, Celine M. Laffont, Mats O. Karlsson, Lena E. Friberg. J Pharmacokinet Pharmacodyn. 2016 Aug 30. [Epub ahead of print]
  5. Approaches for modeling within subject variability in pharmacometric count data analysis: dynamic inter-occasion variability and stochastic differential equations. Deng C, Plan EL, Karlsson MO. J Pharmacokinet Pharmacodyn. 2016 43:305-14.
  6. Dynamic interaction of colistin and meropenem on a WT and a resistant strain of Pseudomonasaeruginosa as quantified in a PK/PD model. Ami F. Mohamed, Anders N. Kristoffersson, Matti Karvanen, Elisabet I. Nielsen, Otto Cars and Lena E. Friberg J Antimicrob Chemother. 2016 71:1279-90
  7. A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R. Acharya, Hooker A, Türkyılmaz GY, Jönsson S, Karlsson MO. Comput Methods Programs Biomed. 2016 127:83-93.
  8. Preconditioning of Nonlinear Mixed Effects Models for Stabilisation of Variance-Covariance Matrix Computations. Aoki Y., Nordgren R., Hooker AC. AAPS J, 2016 18, 505--518
  9. A strategy for residual error modeling incorporating scedasticity of variance and distribution shape. Dosne A.G., Bergstrand M., Karlsson MO. Journal of Pharmacokinetics and Pharmacodynamics, 2016 43,137--151
  10. PK-PD Modeling of Individual Lesion FDG-PET Response to Predict Overall Survival in Patients With Sunitinib-treated Gastrointestinal Stromal Tumor. E Schindler, MA Amantea, MO Karlsson and LE Friberg CPT Pharmacometrics & Systems Pharmacology 2016 5, 173–181
  11. Optimal Design for Informative Protocols in Xenograft Tumor Growth Inhibition Experiments in Mice. Lestini G, Mentré F, Magni P, AAPS J. 2016 18:1233-43
  12. Glucose uptake saturation explains glucose kinetics profiles measured by different tests​. Bizzotto R, Natali A, Gastaldelli A, Muscelli E, Krssak M, Brehm A, Roden M, Ferrannini E, Mari Am J Physiol Endocr Metab, 2016 311:E346-57
  13. Models for change in tumour size, appearance of new lesions and survival probability in patients with advanced epithelial ovarian cancer Zecchin C, Gueorguieva I, Enas N H, and Friberg L E Br J Clin Pharmacol 2016 82: 717–727
  14. An MCMC method for the evaluation of the Fisher information matrix for non-linear mixed effect models. Riviere MK, Ueckert S, Mentré F. Biostatistics 2016 10:
  15. Early change in tumour size predicts overall survival in patients with first-line metastatic breast cancer. Tate SC, Andre V, Enas N, Ribba B, Gueorguieva I. European Journal of Cancer. 2016. 66:95–103.
  16. What do we mean by identifiability in mixed-effects models? Lavielle M., Aarons L.  Journal of Pharmacokinetics and Pharmacodynamics 2016 3: 111-122
  17. Resistance Development: A Major Piece in the Jigsaw Puzzle of Tumor Size Modeling. N Terranova, P Girard, U Klinkhardt and A Munafo CPT: Pharmacometrics & Systems Pharmacology 2015, 4, 320
  18. Optimal design for informative protocols in xenograft tumor growth inhibition experiments in mice. Giulia Lestini, France Mentré, Paolo Magni. AAPS J. 2016 18: 1233-1243.
  19. Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis. Maria Luisa Sardu , Italo Poggesi, Giuseppe De Nicolao, Journal of Pharmacokinetics and Pharmacodynamics 2015, 1-16
  20. The Effects of a GLP-1 Analog on Glucose Homeostasis in Type 2 Diabetes Mellitus Quantified by an Integrated Glucose Insulin Model. RM Røge, S Klim, SH Ingwersen, MC Kjellsson and NR Kristensen, CPT Pharmacometrics & Systems Pharmacology 2015, 4, 28–36.
  21. Influence of the Size of Cohorts in Adaptive Design for Nonlinear Mixed Effects Models: An Evaluation by Simulation for a Pharmacokinetic and Pharmacodynamic Model for a Biomarker in Oncology. Giulia Lestini, Cyrielle Dumont, France Mentré. Pharm Res. 2015 32:3159-69
  22. The Open Physiology workflow: modeling processes over physiology circuitboards of interoperable tissue units. de Bono B, Safaei S, Grenon P, Nickerson DP, Alexander S, Helvensteijn M, Kok JN, Kokash N, Wu A, Yu T, Hunter P, Baldock RA. Front Physiol. 2015 6:24
  23. Methods for Predicting Diabetes Phase III Efficacy Outcome From Early Data: Superior Performance Obtained Using Longitudinal Approaches. JB Møller, NR Kristensen, S Klim, MO Karlsson, SH Ingwersen
    and MC Kjellsson CPT Pharmacometrics & Systems Pharmacology 2014 3, e122
  24. Concordance between criteria for covariate model building. Hennig, Karlsson MO. J Pharmacokinet Pharmacodyn. 2014 Apr;41(2):109-25
  25. Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature Thu Thuy Nguyen, France Mentré CSDA 2014 80: 57–69
  26. Improved Utilization of ADAS-Cog Assessment Data Through Item Response Theory Based Pharmacometric Modeling. Sebastian Ueckert, Elodie L. Plan, Kaori Ito, Mats O. Karlsson, Brian Corrigan, Andrew C. Hooker, and the Alzheimer’s Disease Neuroimaging Initiative, Pharm Res. 2014 31: 2152–2165
  27. A note on BIC in mixed-effects models. M. Delattre, M. Lavielle and M.A. Poursat, EJS, 2014, 8, 456-475
  28. Biophysical constraints on the evolution of tissue structure and function. P.J. Hunter and B. de Bono, JPhysiol, 2014, 592, 2389 - 2401
  29. Use of a linearization approximation facilitating stochastic model building. Elin M Svensson, Mats O. Karlsson, JPKPD,2014, 2, 153-158
  30. Modeling of 24-Hour Glucose and Insulin Profiles in Patients With Type 2 Diabetes Mellitus Treated With Biphasic Insulin Aspart. Rikke M. Røge, Søren Klim, Niels R. Kristensen, Steen H. Ingwersen, and Maria C. Kjellsson. J Clin Pharmacol. 2014, 54:809-17
  31. A Population Pharmacodynamic Model for Lactate Dehydrogenase and Neuron Specific Enolase to Predict Tumor Progression in Small Cell Lung Cancer Patients. Núria Buil-Bruna, José-María López-Picazo, Marta Moreno-Jiménez, Salvador Martín-Algarra, Benjamin Ribba, and Iñaki F. Trocóniz AAPSJ 2014, 16, 609-619
  32. Population pharmacokinetic pharmacodynamic modelling in oncology: a tool for predicting clinical response1. B C Bender, E Schindler, L E Friberg. BJCP 2013, DOI: 10.1111/bcp.12258
  33. Modeling tumor response after combined administration of different immune-stimulatory agents. Parra-Guillen ZP, Berraondo P, Ribba B, Trocóniz IF. JPET 2013, 346:432
  34. Mathematical Model Approach to Describe Tumour Response in Mice After Vaccine Administration and its Applicability to Immune-Stimulatory Cytokine-Based Strategies. Zinnia P. Parra-Guillen, Pedro Berraondo, Emmanuel Grenier, Benjamin Ribba, and Iñaki F. Troconiz. AAPSJ 2013, 15:797
  35. Functional tissue units and their primary tissue motifs in multi-scale physiology. Bernard de Bono, Pierre Grenon, Richard Baldock, Peter Hunter. JBiomedSemantics 2013, 4:22
  36. Comparison of Methods for Handling Missing Covariate Data. Johansson AM, Karlsson MO. AAPSJ 2013, 4:1232
  37. Multiple Imputation of Missing Covariates in NONMEM and Evaluation of the Method's Sensitivity to η-Shrinkage. Johansson AM, Karlsson MO. AAPSJ 2013, 4:1035
  38. Pharmacokinetic-pharmacodynamic modeling of antibacterial drugs. Nielsen EI, Friberg LE. Pharmocol. Rev. 2013 65:1053
  39. Longitudinal Modeling of the Relationship Between Mean Plasma Glucose and HbA1c Following Antidiabetic Treatments JB Møller, RV Overgaard, MC Kjellsson, NR Kristensen, S Klim, SH Ingwersen and MO Karlsson CPT Pharmacometrics & Systems Pharmacology 2013 2:e82
  40. A predictive pharmacokinetic-pharmacodynamic model of tumor growth kinetics in xenograft mice after administration of anticancer agents given in combination. Nadia Terranova, Massimiliano Germani, Francesca Del Bene, Paolo Magni. Cancer Chemother Pharmacol. 2013 72:471
  41. A Model-Based Approach to Predict Longitudinal HbA1c, Using Early Phase Glucose Data From Type 2 Diabetes Mellitus Patients After Anti-Diabetic Treatment. Kjellsson MC, Cosson VF, Mazer NA, Frey N, Karlsson MO. J Clin Pharmacol. 2013 53:589
  42. Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth after administration of an anti-angiogenic agent, bevacizumab, as single-agent and combination therapy in tumor xenografts. Maurizio Rocchetti, Massimiliano Germani, Francesca Del Bene, Italo Poggesi, Paolo Magni, Enrico Pesenti and Giuseppe De Nicolao. Cancer Chemother Pharmacol.  2013 71: 1147
  43. Target-mediated disposition model describing the dynamics of IL12 and IFNy after administration of a Mifepristone-inducible adenoviral vector for IL-12 expression in mice. Zinnia Patricia Parra-Guillen, Alvaro Janda, Pilar Alzuguren, Pedro Berraondo, Ruben Hernandez-Alcoceba and Inaki F. Troconiz. AAPS J. 2013, 15: 183
  44. A minimal model of tumor growth inhibition in combination regimens under the hypothesis of no interaction between drugs. Paolo Magni, Nadia Terranova, Franscesca Del Bene, Massimiliano Germani and Giuseppe De Nicolao. IEEE Trans Biomed Eng. 2012, 59: 2161
  45. ApiNATOMY: a novel toolkit for visualizing sultiscale anatomy schematics with phenotype-related information. Bernard de Bono, Pierre Grenon and Stephen John Sammut. Hum Mutat. 2012, 38: 837
  46. The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions. Bernard de Bono, Robert Hoehndorf, Sarala Wimalaratne, George Gkoutos and Pierre Grenon. BMC Res Notes 2011, 4: 313
  • Oct 23 to Oct 26, 2016
    Bellevue, United States
    Events posted on 5 years 3 weeks ago

    24th of October 6:00 - 7:30 PM Title: "Drug Disease Model Resources (DDMoRe) - helping deliver Model-Informed Drug Discovery and Development (MID3)" Key themes: What has been achieved in the IMI... Read more

  • Aug 21 to Aug 24, 2016
    Events posted on 5 years 2 months ago

    World Conference on Pharmacometrics DDMoRe is part of the program First introduction to the final deliverables of the DDMoRe project, don't miss this opportunity. 22nd of August 15:30 – 17:00... Read more

  • News posted on 5 years 4 months ago

    Fifth issue of the DDMoRe newsletter, June 2016, an update on the fifth-year achievements of the DDMoRe project

  • Jun 07 to Jun 10, 2016
    Lisboa, Portugal
    Events posted on 5 years 8 months ago

    DDMoRe will present a free one day workshop on the 7th of June entitled "Get inspired … get started … get into the world of DDMoRe". This workshop will consist of presentations and hands-on session... Read more

  • Nov 30 to Dec 04, 2015
    Vancouver, United States
    Events posted on 5 years 11 months ago

    The DDMoRe working group on diabetes models has promoted a symposium at the World Diabetes Congress of the International Diabetes Federation, Vancouver, December 1-4, 2015, focused on the use of... Read more

  • Nov 25 to Nov 27, 2015
    Events posted on 5 years 11 months ago

    In͂aki Trocóniz will be in charge of organizing a training session on analysis of non-continuos drug responses. This is an excellent opportunity for our pharmacometricians in Spain to have first... Read more

  • Oct 25 to Oct 29, 2015
    United States
    Events posted on 5 years 11 months ago

    AAPS/EUFEPS Joint Symposium: Collaborative Drug and Disease Model Building Moderators: Meindert Danhof Ph.D. Ted Grasela Ph.D. Proposal Description: Modern drug discovery and development relies... Read more

  • CPT:PSP cover
    News posted on 6 years 1 week ago

    The Drug Disease Model Resources (DDMoRe): A Consortium to Create Standards and Tools to Enhance Model-Based Drug Development. This episode features Lutz Harnisch from Clinical Pharmacology... Read more

  • Sep 14 to Sep 18, 2015
    Stockholm, Sweden
    Events posted on 6 years 1 month ago

    EASD 2015, Stockholm, Sweden The DDMoRe working group on diabetes models has promoted a symposium at the 2015 EASD Annual Meeting, Stockholm, September 14-18, focused on the use of mathematical... Read more

  • News posted on 6 years 3 months ago

    Fourth issue of the DDMoRe newsletter, an update on the fourth-year achievements of the DDMoRe project