AI/ML can be a powerful, error-reducing tool for managing clinical sample data as well as biomarker data.
AI/ML-based tools should not replace human judgment, particularly for insight generation, at least until AI/ML-based tools are extensively and rigorously validated (as any piece of critical software would be). Furthermore, regulatory compliance and data privacy are of utmost importance and must be considered when building and using solutions that leverage generative AI frameworks.
However, near-term applications of AI/ML can dramatically improve any tedious process involving a human inspecting data. We list some of these processes in the box below, along with steps we recommend taking to reduce risk in each case.