RydevHub

BioClassify

BioClassify helps research teams manage medical datasets, train machine learning models, and score new samples without switching between spreadsheets and separate coding tools.

Description

Prepare cohort data, choose features, and train models such as Random Forest or Gradient Boosting from a guided workflow.

Review accuracy and model recommendations, then run predictions on new samples and export results for further analysis.

Built for specialist research work: clear steps, a research dashboard, model registry, and prediction tools in one place.

Stack

  • React
  • TypeScript
  • Python
  • Scikit-Learn
  • FastAPI
  • PostgreSQL

Target users

  • Research teams
  • Data analysts
  • Machine learning engineers
  • Business Analysts

Collaboration

Product and AI build · Healthcare research product

“The tool should guide the work. The user should not need a coding background to get a result.”

— Build note

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