A Scientific Data warehouse and classification AI with automated significant analyte detection, capable of combining and predicting data from a range of instruments, TraceBase has no limitations on the data types that can be held within the database. So, no matter:

• what test methods used
• the type of samples collected
• what brand/type of instrumentation used TraceBase is entirely flexible to accommodate your requirements.

TraceBase offers several advantages for data processing:

1. Selective Analyte Detection:
   • Focus on relevant analytes for your specific questions or classification needs
   • Eliminates irrelevant data, reducing sample size for more efficient analytical (PCA/LDA) separations.
2. Neural Network Integration:
   • Mitigates risk by avoiding reliance on a single supervised model
   • Neural networks identify the function of variables (x) rather than relying solely on numeric relationships between classes
   • Particularly useful when visible separation is challenging to identify
3. Enhanced Repeatability:
   • Easily incorporate additional classes into your dataset
   • Enables the training of multiple models and exploration of various questions without the need for data reuploading.