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Matthew E Hubbard

Showing results (1-10 of 4) with videos related to

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Journal of Scientific Computing|July 5, 2024
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann TransportPaul Houston, Matthew E Hubbard, Thomas J Radley, et al.
Bulletin of Mathematical Biology|March 15, 2017
Bayesian Calibration, Validation and Uncertainty Quantification for Predictive Modelling of Tumour Growth: A TutorialJoe Collis, Anthony J Connor, Marcin Paczkowski, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Virtual Clinical Trials of BMP4 Differentiation Therapy: Digital Twins to Aid Successful Glioblastoma Trial DesignNicholas Harbour, Lee Curtin, Loizos Michaelides, et al.
Mathematical Biosciences and Engineering : MBE|October 30, 2020
Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populationsBethan Morris, Lee Curtin, Andrea Hawkins-Daarud, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Scientific Computing|July 5, 2024
Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann TransportPaul Houston, Matthew E Hubbard, Thomas J Radley, et al.
Bulletin of Mathematical Biology|March 15, 2017
Bayesian Calibration, Validation and Uncertainty Quantification for Predictive Modelling of Tumour Growth: A TutorialJoe Collis, Anthony J Connor, Marcin Paczkowski, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Virtual Clinical Trials of BMP4 Differentiation Therapy: Digital Twins to Aid Successful Glioblastoma Trial DesignNicholas Harbour, Lee Curtin, Loizos Michaelides, et al.
Mathematical Biosciences and Engineering : MBE|October 30, 2020
Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populationsBethan Morris, Lee Curtin, Andrea Hawkins-Daarud, et al.
Pageof 1