Alexander Janssen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 21

Top Topics

Machine Learning

Silver Nanoparticles

Top Venues

CPT: pharmacometrics & systems pharmacology

Journal of pharmacokinetics and pharmacodynamics

Clinical pharmacology and therapeutics

Intensive care medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Alexander Janssen, Frank C Bennis, Marjon H Cnossen, Ron A A Mathôt, null null
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models. Journal of pharmacokinetics and pharmacodynamics 51 (4) (2024)
Alexander Janssen, Frank C Bennis, Marjon H Cnossen, Ron A A Mathôt, null null
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models. Journal of pharmacokinetics and pharmacodynamics 51 (4) (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics 115 (4) (2024)
Alexander Janssen, Frank C Bennis, Marjon H Cnossen, Ron A A Mathôt, null null
Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations. Journal of pharmacokinetics and pharmacodynamics (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics 115 (4) (2024)
Alexander Janssen, Frank C Bennis, Marjon H Cnossen, Ron A A Mathôt, null null
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models. Journal of pharmacokinetics and pharmacodynamics (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics (2024)
Alexander Janssen, Frank C Bennis, Marjon H Cnossen, Ron A A Mathôt, null null
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models. Journal of pharmacokinetics and pharmacodynamics 51 (4) (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics 115 (4) (2024)
Alexander Janssen, Jan J De Waele, Paul W G Elbers
Towards adequate and automated antibiotic dosing. Intensive care medicine (2023)
Alexander Janssen, Frank W G Leebeek, Marjon H Cnossen, Ron A A Mathôt, null null
Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (7) (2022)
Alexander Janssen, Mark Hoogendoorn, Marjon H Cnossen, Ron A A Mathôt, null null
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (8) (2022)
Alexander Janssen, Frank W G Leebeek, Marjon H Cnossen, Ron A A Mathôt, null null
Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (7) (2022)
Alexander Janssen, Frank W G Leebeek, Marjon H Cnossen, Ron A A Mathôt, null null
Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (7) (2022)
Alexander Janssen, Frank W G Leebeek, Marjon H Cnossen, Ron A A Mathôt, null null
Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (7) (2022)
Alexander Janssen, Mark Hoogendoorn, Marjon H Cnossen, Ron A A Mathôt, null null
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (8) (2022)
Alexander Janssen, Mark Hoogendoorn, Marjon H Cnossen, Ron A A Mathôt, null null
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (8) (2022)
Alexander Janssen, Frank W G Leebeek, Marjon H Cnossen, Ron A A Mathôt, null null
Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (7) (2022)
Alexander Janssen, Mark Hoogendoorn, Marjon H Cnossen, Ron A A Mathôt, null null
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (8) (2022)
Alexander Janssen, Frank C Bennis, Ron A A Mathôt
Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations. Pharmaceutics 14 (9) (2022)
Alexander Janssen, Mark Hoogendoorn, Marjon H Cnossen, Ron A A Mathôt, null null
Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling. CPT: pharmacometrics & systems pharmacology 11 (8) (2022)