This webinar of the VPHi Keynote Webinar Series took place on 24 January 2020 at 16 CET featuring Prof Paul Macklin from Indiana University, under the moderation of Ngoc Mai Monica Huynh, member of the VPHi Student Committee. The webinar is endorsed and co-organised by the European Society of Biomechanics.
Abstract
Multicellular systems are complex, multiscale dynamical systems where cells interact with one another and their environment physically and chemically. To investigate these systems, at Indiana University they developed open source software including BioFVM for biological diffusion and PhysiCell: an agent-based model platform. Prof Macklin will introduce PhysiCell in a variety of problems in cancer, immunotherapy, and engineered multicellular systems. He will also show his plans for a growing, sustainable open source community and software ecosystem, including training materials, automated GUI generation for cloud-hosted models, visualization, extension with molecular-scale models, and more. Finally Prof Macklin will shows how machine learning and high performance computing (HPC) can enhance our investigations to allow high-throughput biological hypothesis testing.
Prof Paul Macklin
Paul Macklin is a mathematician, Associate Professor, and Director of Undergraduate studies in the recently-established Department of Intelligent Systems Engineering at Indiana University. He works with biologists, modelers, and clinicians to develop and validate sophisticated 3D computer models of cancer and other multicellular systems, using the open source PhysiCell platform developed by his lab. He also works with the National Cancer Institute and the Department of Energy to co-lead a national initiative to create digital twins for the future of personalized predictive cancer medicine.
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The VPHi keynote webinar series is a quarterly event organized by the VPHi Student Committee that provides a forum for access to senior community members and their expert competence for chiefly young scientists, but also to the VPH community as a whole.
With the series, VPHi wishes to:
