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Computational reactive–diffusive modeling for stratification and prognosis determination of patients...

Computational reactive–diffusive modeling for stratification and prognosis determination of patients...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ab5d27f2a0c432f915f67cda4c6e7d3

Computational reactive–diffusive modeling for stratification and prognosis determination of patients with breast cancer receiving Olaparib

About this item

Full title

Computational reactive–diffusive modeling for stratification and prognosis determination of patients with breast cancer receiving Olaparib

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-07, Vol.13 (1), p.11951-11951, Article 11951

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Mathematical models based on partial differential equations (PDEs) can be exploited to handle clinical data with space/time dimensions, e.g. tumor growth challenged by neoadjuvant therapy. A model based on simplified assessment of tumor malignancy and pharmacodynamics efficiency was exercised to discover new metrics of patient prognosis in the OLTR...

Alternative Titles

Full title

Computational reactive–diffusive modeling for stratification and prognosis determination of patients with breast cancer receiving Olaparib

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8ab5d27f2a0c432f915f67cda4c6e7d3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ab5d27f2a0c432f915f67cda4c6e7d3

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-38760-z

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