Zobrazeno 1 - 10
of 24
pro vyhledávání: '"John T. Nardini"'
Autor:
Rebecca Everett, Kevin B. Flores, Nick Henscheid, John Lagergren, Kamila Larripa, Ding Li, John T. Nardini, Phuong T. T. Nguyen, E. Bruce Pitman, Erica M. Rutter
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 4, Pp 3660-3709 (2020)
Intra-tumor and inter-patient heterogeneity are two challenges in developing mathematical models for precision medicine diagnostics. Here we review several techniques that can be used to aid the mathematical modeller in inferring and quantifying both
Externí odkaz:
https://doaj.org/article/5095fd63b949487b97e228db2d01e3e5
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009094 (2021)
Angiogenesis is the process by which blood vessels form from pre-existing vessels. It plays a key role in many biological processes, including embryonic development and wound healing, and contributes to many diseases including cancer and rheumatoid a
Externí odkaz:
https://doaj.org/article/24875cb0b6f143c9b9e5b1a630a64832
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 12, p e1008462 (2020)
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1], are introduced and used to discover the underlying dynamics of biological systems from sparse experimental data. In the present work, BINNs are train
Externí odkaz:
https://doaj.org/article/c5335f6d2e5c4065bc1ff58b82467b4f
Objective Disease complications can alter vascular network morphology and disrupt tissue functioning. Microvascular diseases of the retina are assessed by visual inspection of retinal images, but this can be challenging when diseases exhibit silent s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8349671576b2ed3f92da86eb9248c47
https://ora.ox.ac.uk/objects/uuid:fe7b54a9-25bb-4bdc-8a78-476b0d0caa81
https://ora.ox.ac.uk/objects/uuid:fe7b54a9-25bb-4bdc-8a78-476b0d0caa81
Publikováno v:
J R Soc Interface
Agent-based models provide a flexible framework that is frequently used for modelling many biological systems, including cell migration, molecular dynamics, ecology and epidemiology. Analysis of the model dynamics can be challenging due to their inhe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f711d678bcdc263bbddb9354f450f74c
https://ora.ox.ac.uk/objects/uuid:50e79f48-32a8-466b-95fc-476aa66360c4
https://ora.ox.ac.uk/objects/uuid:50e79f48-32a8-466b-95fc-476aa66360c4
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 6, p e1009094 (2021)
PLoS Computational Biology, Vol 17, Iss 6, p e1009094 (2021)
Angiogenesis is the process by which blood vessels form from pre-existing vessels. It plays a key role in many biological processes, including embryonic development and wound healing, and contributes to many diseases including cancer and rheumatoid a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3a2dc33785ef324105853b580481154
https://pubmed.ncbi.nlm.nih.gov/34181657
https://pubmed.ncbi.nlm.nih.gov/34181657
Autor:
Lee Curtin, John T. Nardini, Andrea Hawkins-Daarud, Erica M. Rutter, Bethan Morris, John H. Lagergren, Kevin B. Flores, Kristin R. Swanson
Publikováno v:
Bull Math Biol
Equation learning methods present a promising tool to aid scientists in the modeling process for biological data. Previous equation learning studies have demonstrated that these methods can infer models from rich datasets; however, the performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5745a18aa47a8647e73d18eb28a7848
https://pubmed.ncbi.nlm.nih.gov/32909137
https://pubmed.ncbi.nlm.nih.gov/32909137
Autor:
Angelika Manhart, Kathleen M. Storey, Chad M. Topaz, Lori Ziegelmeier, Jesse Milzman, John T. Nardini, Dhananjay Bhaskar
Publikováno v:
Chaos
We use topological data analysis and machine learning to study a seminal model of collective motion in biology [D'Orsogna et al., Phys. Rev. Lett. 96 (2006)]. This model describes agents interacting nonlinearly via attractive-repulsive social forces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896e16f9d28242dc634d7e07d790ab20
https://pubmed.ncbi.nlm.nih.gov/31893635
https://pubmed.ncbi.nlm.nih.gov/31893635
Autor:
David M. Bortz, John T. Nardini
Publikováno v:
SIAM Journal on Applied Mathematics. 78:1712-1736
Recent biological research has sought to understand how biochemical signaling pathways, such as the mitogen-activated protein kinase (MAPK) family, influence the migration of a population of cells during wound healing. Fisher’s Equation has been us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ceab4d64de4104e784742e47fb4e737
https://doi.org/10.1137/16m1108546
https://doi.org/10.1137/16m1108546