Bioprocess Modeling Made Easy With Hybrax
Hybrid models that embed neural networks in ordinary differential equations are increasingly popular in bioprocess modeling, but they are challenging to set up. Much of the effort goes into the code around the model: wet-lab data must be imported and pre-processed, feeds and sampling must be accounted for in the balance equations, and a training loop with cross-validation must be set up.…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
