Justin C. Niestroy

The paper introduces FAIRSCAPE, a framework for packaging biomedical datasets with metadata to enhance AI-readiness, explainability, and FAIR compliance.

The paper introduces the CM4AI project, which aims to create AI-ready datasets of human cell architecture using multimodal data from cell lines.

The paper uses time-series analysis on NICU vital signs to identify features predicting all-cause mortality within 7 days, finding five algorithms that outperform others with an AUC of 0.83.

FAIRSCAPE provides a framework for creating FAIR and reproducible biomedical analytics by generating machine-interpretable provenance metadata for computational results.