BioAces provides data analysis and modeling for bioprocess spectra and microscopic images for life science. Machine learning and deep learning are applied for task-specific modeling to acknowledge an excellent insight and advanced control of the bioprocess for both biopharmaceuticals and biosynthesis.

• Data reduction and cleaning: Ensuring high quality and accuracy of data
• Dataset establishing: Constructing valid datasets for model training
• Model training strategy: Develop and implement efficient model training methods
• Model evaluation: Comprehensive assessment of model performance to ensure reliability and validity