PERFORM Publications

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Title		Authors	PubMed ID
1	Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models	Gheflati B; Mirzaei M; Rottoo S; Rivaz H;	39953355 ENCS
2	The effect of micro-vessel viscosity on the resonance response of a two-microbubble system	Yusefi H; Helfield B;	39705920 BIOLOGY
3	A unified stochastic SIR model driven by Lévy noise with time-dependency	Easlick T; Sun W;	39027117 MATHSTATS
4	Subharmonic resonance of phospholipid coated ultrasound contrast agent microbubbles	Yusefi H; Helfield B;	38217906 BIOLOGY
5	Nonlinear dynamic modeling and model-based AI-driven control of a magnetoactive soft continuum robot in a fluidic environment	Moezi SA; Sedaghati R; Rakheja S;	37932207 ENCS
6	The experimental multi-arm pendulum on a cart: A benchmark system for chaos, learning, and control	Kaheman K; Fasel U; Bramburger JJ; Strom B; Kutz JN; Brunton SL;	37637793 ENCS
7	The influence of inter-bubble spacing on the resonance response of ultrasound contrast agent microbubbles	Yusefi H; Helfield B;	36223708 BIOLOGY
8	Cancer: A turbulence problem.	Uthamacumaran A	33142240 CONCORDIA

Title:	Cancer: A turbulence problem.
Authors:	Uthamacumaran A
Link:	https://www.ncbi.nlm.nih.gov/pubmed/33142240
DOI:	10.1016/j.neo.2020.09.008
Publication:	Neoplasia (New York, N.Y.)
Keywords:	Cancer; Chaos; Chemical turbulence; Complexity; Fractals; Nonlinear dynamics;
PMID:	33142240	Category:	Neoplasia	Date Added:	2020-11-04
Dept Affiliation:	CONCORDIA 1 Concordia University, Montreal, QC, Canada. Electronic address: a_utham@live.concordia.ca.

Description:

Cancer: A turbulence problem.

Neoplasia. 2020 Oct 24; 22(12):759-769

Authors: Uthamacumaran A

Abstract

Cancers are complex, adaptive ecosystems. They remain the leading cause of disease-related death among children in North America. As we approach computational oncology and Deep Learning Healthcare, our mathematical models of cancer dynamics must be revised. Recent findings support the perspective that cancer-microenvironment interactions may consist of chaotic gene expressions and turbulent protein flows during pattern formation. As such, cancer pattern formation, protein-folding and metastatic invasion are discussed herein as processes driven by chemical turbulence within the framework of complex systems theory. To conclude, cancer stem cells are presented as strange attractors of the Waddington landscape.

PMID: 33142240 [PubMed - as supplied by publisher]

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