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Paul Macklin

Researcher at Indiana University

Publications -  71
Citations -  4513

Paul Macklin is an academic researcher from Indiana University. The author has contributed to research in topics: Systems biology & Cancer. The author has an hindex of 25, co-authored 66 publications receiving 3545 citations. Previous affiliations of Paul Macklin include University of Texas Health Science Center at Houston & University of California, Irvine.

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Nonlinear modelling of cancer: Bridging the gap between cells and tumours

TL;DR: In this paper, the authors provide an overview of multiscale modelling focusing on the growth phase of tumours and bypassing the initial stage of tumourigenesis, and limit the scope further by considering models of tumor progression that do not distinguish tumour cells by their age and do not consider immune system interactions nor do they describe models of therapy.
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Multiscale Cancer Modeling

TL;DR: In this review, the most recent and important multiscale cancer modeling works that have successfully established a mechanistic link between different biological scales are introduced and biophysical, biochemical, and biomechanical factors are considered in these models.
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Multiscale modelling and nonlinear simulation of vascular tumour growth.

TL;DR: A new multiscale mathematical model for solid tumour growth is presented which couples an improved model of tumour invasion with a model of malignant tumour-induced angiogenesis and demonstrates the importance of the coupling between the development and remodeling of the vascular network, the blood flow through the network and the tumour progression.
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PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.

TL;DR: PhysiCell is demonstrated by simulating the impact of necrotic core biomechanics, 3-D geometry, and stochasticity on the dynamics of hanging drop tumor spheroids and ductal carcinoma in situ (DCIS) of the breast.
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The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

Michael Snyder, +133 more
- 09 Oct 2019 - 
TL;DR: The NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping.