Anas Abdelrehim's scientific contributions

Publications (2)

Preprint
Full-text available
We introduce ReservoirComputing.jl, an open source Julia library for reservoir computing models. The software offers a great number of algorithms presented in the literature, and allows to expand on them with both internal and external tools in a simple way. The implementation is highly modular, fast and comes with a comprehensive documentation, wh...
Preprint
Full-text available
Quantitative systems pharmacology (QsP) may need to change in order to accommodate machine learning (ML), but ML may need to change to work for QsP. Here we investigate the use of neural network surrogates of stiff QsP models. This technique reduces and accelerates QsP models by training ML approximations on simulations. We describe how common neur...

Citations

... Recently, Nilsson et al. [14] showed good performances of such a model, developed for signaling networks, where they used the supposed topology of a signaling network as a platform for learning on experimental data, therefore displaying more insights than a black-box approach. Also, Anantharaman et al. [15] showed that an implicit ML architecture, here a reservoir specifically designed for surrogating stiff mechanistic Ordinary Differential Equations (ODEs) used in quantitative systems pharmacology, can function in a more accurate, fast and robust fashion than classical ODE solvers, once these implicit architectures have been trained on mechanistic simulations. Another example of hybrid modeling for biological systems is the work of Lagergren et al. [16], who estimated the parameters of a mechanistic model using "biologically-informed neural networks". ...