Thinking and rethinking data AI readiness

TL;DR - Biological datasets evolve after ML models are trained, potentially weakening model–data alignment. Maintaining reliable results therefore requires ongoing dataset and model updates.

• High-quality biological data can rapidly yield abundant ML results.
• Dataset changes can make previously trained models outdated.
• AI readiness includes long-term maintenance, not just initial data quality.
• The provided abstract does not specify particular methods or experimental results.