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SkillsCast

Mixing biology and physics to understand stem cells and cancer

8th May 2014 in London at Skills Matter

This SkillsCast was filmed at Mixing biology and physics to understand stem cells and cancer

Would you like the opportunity to take a look at results of modelling the process of oogenesis in the C. elegans gonad? Join Ben Hall who will show you how he took advantage of different features of F# and other tools to understand the results.

Biological phenomena arise from the communication and physical interactions between cells. For example, in the process of organ growth and development, stem cells are sent signals at specific times and locations which determine how the cell changes as it progresses towards its ultimate fate. How the cell responds to the signals is determined by the protein signalling networks within the cell. However, it is the movements of the cell in its 3D physical environment which ultimately control the cells development.

I’m going to talk about how I have developed a hybrid simulator in F# which allows us to explore how stem cells grow in an organ, and how breakdowns can lead to cancer growth. Our approach takes cellular network models built in an F# based web tool, the BioModelAnalyzer, and couples them with a 3D model of the biophysical environment.

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Mixing biology and physics to understand stem cells and cancer

Ben Hall

Ben Hall is a C#/Ruby/JavaScript developer/tester with a strong passion for startups, users and software development. Ben enjoys startups, growing opportunities and user bases while figuring out what actually needs to be built instead of guesswork

SkillsCast

Would you like the opportunity to take a look at results of modelling the process of oogenesis in the C. elegans gonad? Join Ben Hall who will show you how he took advantage of different features of F# and other tools to understand the results.

Biological phenomena arise from the communication and physical interactions between cells. For example, in the process of organ growth and development, stem cells are sent signals at specific times and locations which determine how the cell changes as it progresses towards its ultimate fate. How the cell responds to the signals is determined by the protein signalling networks within the cell. However, it is the movements of the cell in its 3D physical environment which ultimately control the cells development.

I’m going to talk about how I have developed a hybrid simulator in F# which allows us to explore how stem cells grow in an organ, and how breakdowns can lead to cancer growth. Our approach takes cellular network models built in an F# based web tool, the BioModelAnalyzer, and couples them with a 3D model of the biophysical environment.

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About the Speaker

Mixing biology and physics to understand stem cells and cancer

Ben Hall

Ben Hall is a C#/Ruby/JavaScript developer/tester with a strong passion for startups, users and software development. Ben enjoys startups, growing opportunities and user bases while figuring out what actually needs to be built instead of guesswork