” Systems Biology for Diseases ” … some more hints about my course :)

Systems Biology is a holistic approach to deciphering complexity and emergent properties of biological systems. Embracing systems-biology practices helps us to reveal molecular and cellular networks that relay information and ultimately, design predictive, multi-scale models for spatiotemporal patterns of biological systems. During this process, systems biology drives innovation through iterative biology-driven advancements in technology and computation. One of the current challenges in the field is how we phrase questions and design studies that will help us to understand the complexity in “larger” systems, including organisms of greater medical relevance, such as mice and humans. 

My course aims to disseminate systems approaches and analysis tools to study human biology in health and disease. This course will also introduce systems ”biomedicine” (or ”complex systems for population health”, more properly), which is the application of a systems view to disease. I will demonstrate the state of the art of systems biology for health applications (i.e. how to predict disease, and identify key biomarkers and health outcomes) and discuss key opportunities and challenges for the application of systems biology approaches to public health. This course is designed as an introduction to complex systems for population health with lectures, hands on interactive sessions, and panel discussions. As such, it is aimed at graduate students, post-doctoral fellows and principal investigators with an interest in complex systems in general. 

Upon completing this course, trainees will have learned: 1) core concepts of systems biology, 2) applications to systems biomedicine, 3)how to handle data and predict occurrence of diseases in space and time, 4) how to assess factor importance and interactions, and 5) how to discover critical hotspots. The final day will be devoted to the application of complex systems approaches to data brought by trainees or public datasets.


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