Expedite preclinical cycles and reduce animal testing.
- Frameworks to predict long term failure from short term data.
- Predict chronic outcomes from in-vivo shorter-term studies and in-silico models.
- Unique hybrid solutions with better performance than current in-silico models.
Innovative AI networks trained on vast amounts of multimodality data to draw correlations and predict disease progression.
Predicting and modelling the response of microbes to changing environment conditions.
- Complement the direct study of environmental monitoring.
- Hybrid models for quantitative risk assessment.
NOTE: Unless otherwise stated, all products are “Research Use Only”; not for use in diagnostic procedures.