TetraScience Announces Collaboration with Thermo Fisher Scientific to Accelerate Scientific Data and AI Enablement Across the Laboratory

For pharmaceutical organizations, this collaboration promises to streamline AI/ML model development by providing cleaner, more accessible data. It can reduce the time and cost associated with data wrangling and feature engineering, allowing scientists to focus on model building and validation, automating critical parts of the drug discovery workflow. Improved data integration can lead to better model performance and more accurate predictions, leading to faster insights and better patient outcomes.