The OpenSim Project and the National Center for Simulation in Rehabilitation Research (NCSRR) at Stanford invite you to join our next webinar, featuring Łukasz Kidziński from Stanford University. He will give an introduction to reinforcement learning and its application to developing control strategies.
The OpenSim Project and the National Center for Simulation in Rehabilitation Research (NCSRR) at Stanford invite you to join our next webinar, featuring Ilse Jonkers and Friedl De Groote from KU Leuven, Belgium.
DETAILS
Title: SimCP: A Simulation Platform to Predict Gait Performance Following Orthopedic Interventions in Children with Cerebral Palsy
Speaker: Ilse Jonkers and Friedl De Groote, Human Movement Biomechanics Research Group, KU Leuven, Belgium
Biochemical reaction systems may be viewed as discrete event processes characterized by a number of states and state transitions. These systems may be modeled as state transition systems with transitions representing individual reaction events. Since they often involve a large number of interactions, it can be difficult to construct such a model for a system, and since the resulting state-level model can involve a huge number of states, model analysis can be difficult or impossible.
Professor Terry YoungBrunel UniversityChair of Healthcare Systems and Associate Dean, Healthcare PartnershipsTerry Young joined Brunel University as Professor of Healthcare Systems in 2001 after 16½ in industrial research and technology. Since then he has specialised in leading large, cross-disciplinary, multi-university projects addressing value in care delivery. His research interests are the organisation and delivery of care, at all levels, from the role and value of technology to modelling, simulations and business models of new services and structures.
We present StochSS: Stochastic Simulation as-a-Service, an integrated development environment for simulation of biological systems with models ranging from ODE to spatial stochastic, where a user can build a simple model on a laptop, and scale it up to increasing levels of complexity, deploying computing resources from the cloud with the push of a button when they are needed. StochSS is available for download at www.stochss.org.
In recent years it has become increasingly clear that stochasticity plays an important role in many biological processes. Examples include bistable genetic switches, noise enhanced robustness of oscillations, and fluctuation enhanced sensitivity or “stochastic focusing". In many cellular systems, local low species populations can create stochastic effects even if total cellular levels are high. Numerous cellular systems, including development, polarization and chemotaxis, rely on spatial stochastic noise for robust performance.
The inductive (data-based) and the deductive (hypothesis-based) approaches have played a complementary and mutually beneficial role in the history of science, whereby observations have led to the postulation of hypotheses that are subsequently tested by properly designed experiments. This forms an evolutionary process of hypothesis formulation and testing, leading to scientific advancement.
I would argue that the process of scientific discovery is inefficient and therefore not cost effective and hence only able to exploit a fraction of what needs to be explored. In a small way, we are in the early stages of a project that tries to address these shortcomings through community enablement. The 3D Virtual Cell Project seeks to establish the community and infrastructure to accelerate interdisciplinary science through the in silico modeling and simulation of the action of a living cell.
