jrcramos/Hybrid-modeling-of-bioreactor-with-LSTM

Deep hybrid modeling of bioreactor cell culture data using Long Short-Term Memory (LSTM) networks combined with first principles equations

39
/ 100
Emerging

This project helps bioprocess scientists and engineers accurately predict how cell cultures, specifically HEK293, behave in bioreactors. By combining historical data with scientific principles, it takes in your cell culture process data and outputs predictions for cell growth and metabolite concentrations. This tool is for professionals managing bioreactor experiments who need to understand and optimize their processes.

No commits in the last 6 months.

Use this if you need to predict and optimize mammalian cell culture dynamics with improved accuracy by leveraging both experimental data and biochemical knowledge.

Not ideal if you are working with non-biological systems or if you do not have access to MATLAB and its required toolboxes.

bioreactor-optimization cell-culture bioprocess-engineering predictive-modeling biopharmaceutical-production
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

20

Forks

5

Language

MATLAB

License

GPL-3.0

Last pushed

Sep 27, 2025

Commits (30d)

0

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