Gene regulatory networks: a coarse-grained, equation-free approach to multiscale computation

We present computer-assisted methods for analyzing stochastic models of gene regulatory networks. The main idea that underlies this equation-free analysis is the design and execution of appropriately-initialized short bursts of stochastic simulations; the results of these are processed to estimate coarse-grained quantities of interest, such as mesoscopic transport coefficients. In particular, using a simple model of a genetic toggle switch, we illustrate the computation of an effective free energy and of a state-dependent effective diffusion coefficient that characterize an unavailable effective Fokker-Planck equation. Additionally we illustrate the linking of equation-free techniques with continuation methods for performing a form of stochastic "bifurcation analysis"; estimation of mean switching times in the case of a bistable switch is also implemented in this equation-free context. The accuracy of our methods is tested by direct comparison with long-time stochastic simulations. This type of equation-free analysis appears to be a promising approach to computing features of the long-time, coarse-grained behavior of certain classes of complex stochastic models of gene regulatory networks, circumventing the need for long Monte Carlo simulations.Comment: 33 pages, submitted to The Journal of Chemical Physic

Could Fire and Rescue Services identify older people at risk of falls?

Protecting or improving the efficiency and effectiveness of services while reducing costs in response to public sector funding reductions is a significant challenge for all public service organisations. Preventing falls in older people is a major public health objective. We propose here an innovative model of community partnership with Fire and Rescue Services assisting falls prevention services to enhance the safety and well-being of older people in local communities through early identification of those who are at risk of injury from a fall or accidental domestic fire

EPA 9—Collaborate as a Member of an Interprofessional Team: a Short Communication from the AAMC Core EPAs for Entering Residency Pilot Schools

Members of the Association of American Medical Colleges Core Entrustable Professional Activities (EPAs) for Entering Residency Pilot worked to conceptualize how graduates might be entrusted for EPA 9: Collaborate as a member of an interprofessional team. Through an iterative group process informed by the literature and application to local curriculum and clinical experiences, we drafted a developmental framework and curriculum mapping tool. Ultimately, entrustment requires assessment in clinical settings. Nonetheless, teamwork and communication skills that are relevant to future entrustment can be taught and assessed in pre-clinical contexts such as small groups to ensure students are on an entrustment trajectory