Article

Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics

2020-06-15

Abstract excerpt

Neoplastic processes are described by complex and heterogeneous dynamics. The interaction of neoplastic cells with their environment describes tumor growth and is critical for the initiation of cancer invasion. Despite the large spectrum of tumor growth models, there is no clear guidance on how to choose the most appropriate model for a particular cancer and how this will impact its subsequent use in therapy plann...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 99bcd291-0c58-50cb-ade8-d42ec4b038a7
DOI: 10.1101/2020.06.13.140715

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 10 closest

Growth pattern Learning for Unsupervised Extraction of Cancer KineticsDOI 10.1101/2020.06.13.140715Read

Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer DataSemantic proximity Read

A novel multiscale framework for delineating cancer evolution from subclonal compositions.Semantic proximity Read

Classical Mathematical Models for Prediction of Response to Chemotherapy and ImmunotherapySemantic proximity Read

Prediction of Individual Breast Cancer Evolution to Surgical SizeSemantic proximity Read

Validation of polymorphic Gompertzian model of cancer through <i>in vitro</i> and <i>in vivo</i> dataSemantic proximity Read

Towards Image - Based Personalization of Glioblastoma Therapy A Clinical and Biological Validation Study of a Novel, Deep Learning - Driven Tumor Growth ModelSemantic proximity Read

A “universal” model of metastatic cancer, its parametric forms and their identification: what can be learned from site-specific volumes of metastasesSemantic proximity Read

Emergent properties of a computational model of tumour growthSemantic proximity Read

Delineating the longitudinal tumor evolution using organoid modelsSemantic proximity Read

Investigation of a mathematical model describing global cancer growth and treatment: An inhomogeneous model based on the generalized logistic equationSemantic proximity Read