Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2022Report of RILEM TC 281-CCC: outcomes of a round robin on the resistance to accelerated carbonation of Portland, Portland-fly ash and blast-furnace blended cements21citations
  • 2022Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors.6citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC286citations
  • 20163D-Printed Structural Pseudocapacitorscitations
  • 2013Nanoscale spin reversal by non-local angular momentum transfer following ultrafast laser excitation in ferrimagnetic GdFeCo308citations

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Chart of shared publication
Gruyaert, Elke
2 / 41 shared
Vollpracht, Anya
2 / 35 shared
Lothenbach, Barbara
2 / 314 shared
Medina Martinez, César
1 / 2 shared
Andrade, Carmen
2 / 18 shared
Frederickx, Lander
1 / 7 shared
Ducman, Vilma
1 / 28 shared
De Belie, Nele
1 / 101 shared
Huang, W.
1 / 9 shared
Stader, F.
1 / 1 shared
Chan, P.
1 / 1 shared
Li, L.
1 / 90 shared
Cs, Shemesh
1 / 1 shared
Kl, Gill
1 / 1 shared
Hm, Jones
1 / 1 shared
Rossato, G.
1 / 1 shared
Chen, Y.
1 / 71 shared
Jy, Jin
1 / 1 shared
Chanu, P.
1 / 1 shared
Vanoutrive, Hanne
1 / 22 shared
Thiel, Charlotte
1 / 24 shared
Huet, Bruno
1 / 8 shared
Medina, César
1 / 20 shared
Von Greve-Dierfeld, Stefanie
1 / 10 shared
Maher, Rc
1 / 1 shared
Cohen, L.
1 / 3 shared
Liu, X.
1 / 54 shared
Brandon, Np
1 / 11 shared
Ouyang, M.
1 / 3 shared
Jervis, R.
1 / 5 shared
Naylor-Marlow, M.
1 / 1 shared
Villar-Garcia, Ij
1 / 1 shared
Shearing, Pr
1 / 48 shared
Chart of publication period
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2020
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Co-Authors (by relevance)

  • Gruyaert, Elke
  • Vollpracht, Anya
  • Lothenbach, Barbara
  • Medina Martinez, César
  • Andrade, Carmen
  • Frederickx, Lander
  • Ducman, Vilma
  • De Belie, Nele
  • Huang, W.
  • Stader, F.
  • Chan, P.
  • Li, L.
  • Cs, Shemesh
  • Kl, Gill
  • Hm, Jones
  • Rossato, G.
  • Chen, Y.
  • Jy, Jin
  • Chanu, P.
  • Vanoutrive, Hanne
  • Thiel, Charlotte
  • Huet, Bruno
  • Medina, César
  • Von Greve-Dierfeld, Stefanie
  • Maher, Rc
  • Cohen, L.
  • Liu, X.
  • Brandon, Np
  • Ouyang, M.
  • Jervis, R.
  • Naylor-Marlow, M.
  • Villar-Garcia, Ij
  • Shearing, Pr
OrganizationsLocationPeople

article

Development of a pediatric physiologically-based pharmacokinetic model to support recommended dosing of atezolizumab in children with solid tumors.

  • Huang, W.
  • Stader, F.
  • Chan, P.
  • Li, L.
  • Cs, Shemesh
  • Kl, Gill
  • Hm, Jones
  • Rossato, G.
  • Wu, B.
  • Chen, Y.
  • Jy, Jin
  • Chanu, P.
Abstract

<b>Background:</b> Atezolizumab has been studied in multiple indications for both pediatric and adult patient populations. Generally, clinical studies enrolling pediatric patients may not collect sufficient pharmacokinetic data to characterize the drug exposure and disposition because of operational, ethical, and logistical challenges including burden to children and blood sample volume limitations. Therefore, mechanistic modeling and simulation may serve as a tool to predict and understand the drug exposure in pediatric patients. <b>Objective:</b> To use mechanistic physiologically-based pharmacokinetic (PBPK) modeling to predict atezolizumab exposure at a dose of 15 mg/kg (max 1,200 mg) in pediatric patients to support dose rationalization and label recommendations. <b>Methods:</b> A minimal mechanistic PBPK model was used which incorporated age-dependent changes in physiology and biochemistry that are related to atezolizumab disposition such as endogenous IgG concentration and lymph flow. The PBPK model was developed using both <i>in vitro</i> data and clinically observed data in adults and was verified across dose levels obtained from a phase I and multiple phase III studies in both pediatric patients and adults. The verified model was then used to generate PK predictions for pediatric and adult subjects ranging from 2- to 29-year-old. <b>Results:</b> Individualized verification in children and in adults showed that the simulated concentrations of atezolizumab were comparable (76% within two-fold and 90% within three-fold, respectively) to the observed data with no bias for either over- or under-prediction. Applying the verified model, the predicted exposure metrics including C<sub>min</sub>, C<sub>max</sub>, and AUC<sub>tau</sub> were consistent between pediatric and adult patients with a geometric mean of pediatric exposure metrics between 0.8- to 1.25-fold of the values in adults. <b>Conclusion:</b> The results show that a 15 mg/kg (max 1,200 mg) atezolizumab dose administered intravenously in pediatric patients provides comparable atezolizumab exposure to a dose of 1,200 mg in adults. This suggests that a dose of 15 mg/kg will provide adequate and effective atezolizumab exposure in pediatric patients from 2- to 18-year-old.

Topics
  • phase
  • simulation