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We are using Julia to develop a clinical trial simulator for drug dosage prediction and personalized medicine applications as a joint MIT, University of Marylan
by ChrisRackauckas 8y ago
We are using Julia to develop a clinical trial simulator for drug dosage prediction and personalized medicine applications as a joint MIT, University of Maryland Baltimore, and JuliaComputing project. It will be open sourced in January, and at the same time we will be starting a clinical trial to test the methods in a real-world setting.
- elcritch 8y agoDefinitely post a link! Are you doing stochastic modeling, and if so how do you structure the input data? I’d love to use similar techniques for other data modeling.
- ChrisRackauckas 8y agoHere's a link to the talk: https://www.youtube.com/watch?v=KQ4Vtsd9XNw https://www.youtube.com/watch?v=KQ4Vtsd9XNw . We are using stochastic models at two levels: at the population level using nonlinear mixed effects models, and at the individual level using discrete stochastic (Gillespie) models and stochastic differential equations via DifferentialEquations.jl. The input data has a standard structure which we read in with tools like JuliaDB, and for output the DiffEq solutions are table structures which can directly output to JuliaDB, DataFrames, or csvs.