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Kristian Soltesz

Showing results (1-10 of 19) with videos related to

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BMC Medical Research Methodology|January 22, 2026
Discrete-time neural Markov modelsJesper Sundell, Ylva Wahlquist, Kristian Soltesz
Journal of Pharmacokinetics and Pharmacodynamics|October 21, 2023
Learning pharmacometric covariate model structures with symbolic regression networksYlva Wahlquist, Jesper Sundell, Kristian Soltesz
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2024
Ex Vivo Working Porcine Heart ModelHenry Pigot, Kristian Soltesz, Stig Steen
Ifac-Papersonline|April 15, 2024
Identifiability issues in estimating the impact of interventions on Covid-19 spreadFredrik Gustafsson, Joakim Jaldén, Bo Bernhardsson, et al.
Diving and Hyperbaric Medicine|June 15, 2026
Measuring whole-body inert gas uptake and washout during submersionOscar Plogmark, Kristian Soltesz, Carl Hjelte, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Individualized closed-loop anesthesia through patient model partitioningYlva Wahlquist, Klaske van Heusden, Guy A Dumont, et al.
Scientific Reports|December 15, 2021
Estimating the SARS-CoV-2 infected population fraction and the infection-to-fatality ratio: a data-driven case study based on Swedish time series dataAndreas Wacker, Anna Jöud, Bo Bernhardsson, et al.
Resuscitation|March 14, 2019
Phase-controlled intermittent intratracheal insufflation of oxygen during chest compression-active decompression mCPR improves coronary perfusion pressure over continuous insufflationKristian Soltesz, Audrius Paskevicius, Henry Pigot, et al.
Artificial Organs|May 13, 2022
A novel nonlinear afterload for ex vivo heart evaluation: Porcine experimental resultsHenry Pigot, Kristian Soltesz, Audrius Paskevicius, et al.
CPT: Pharmacometrics & Systems Pharmacology|March 10, 2026
Learning Covariate Relations in Disease Progression Models Using Symbolic Neural NetworksJesper Sundell, Ylva Wahlquist, Maria C Kjellsson, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
BMC Medical Research Methodology|January 22, 2026
Discrete-time neural Markov modelsJesper Sundell, Ylva Wahlquist, Kristian Soltesz
Journal of Pharmacokinetics and Pharmacodynamics|October 21, 2023
Learning pharmacometric covariate model structures with symbolic regression networksYlva Wahlquist, Jesper Sundell, Kristian Soltesz
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2024
Ex Vivo Working Porcine Heart ModelHenry Pigot, Kristian Soltesz, Stig Steen
Ifac-Papersonline|April 15, 2024
Identifiability issues in estimating the impact of interventions on Covid-19 spreadFredrik Gustafsson, Joakim Jaldén, Bo Bernhardsson, et al.
Diving and Hyperbaric Medicine|June 15, 2026
Measuring whole-body inert gas uptake and washout during submersionOscar Plogmark, Kristian Soltesz, Carl Hjelte, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Individualized closed-loop anesthesia through patient model partitioningYlva Wahlquist, Klaske van Heusden, Guy A Dumont, et al.
Scientific Reports|December 15, 2021
Estimating the SARS-CoV-2 infected population fraction and the infection-to-fatality ratio: a data-driven case study based on Swedish time series dataAndreas Wacker, Anna Jöud, Bo Bernhardsson, et al.
Resuscitation|March 14, 2019
Phase-controlled intermittent intratracheal insufflation of oxygen during chest compression-active decompression mCPR improves coronary perfusion pressure over continuous insufflationKristian Soltesz, Audrius Paskevicius, Henry Pigot, et al.
Artificial Organs|May 13, 2022
A novel nonlinear afterload for ex vivo heart evaluation: Porcine experimental resultsHenry Pigot, Kristian Soltesz, Audrius Paskevicius, et al.
CPT: Pharmacometrics & Systems Pharmacology|March 10, 2026
Learning Covariate Relations in Disease Progression Models Using Symbolic Neural NetworksJesper Sundell, Ylva Wahlquist, Maria C Kjellsson, et al.
Pageof 2