S-X-AIPI Pharma Use Case Process Model
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
Main Characteristic
The model can predict the concentrations of cortisone, adrenosterone and of the resulting by-products in total over time. The underlying data is also available.
This resource has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement 101058715 (s-X-AIPI project)
Research areas
Physical AI
Technical Categories
Machine learning
Last updated
16.02.2024 - 16:51