Cytotoxicity Data for 16 Rare Earth Ions Across Eight Human Cell Lines

A 13.2 MB Excel file contains cytotoxicity data for 16 rare earth ions, developed by Yaqi Wang and last updated in May 2026. The framework integrates single and binary exposure data across eight human cell lines with machine learning models for mixture toxicity prediction. Application of the model to human exposure scenarios showed high risks for populations in mining areas.

Use Cases

• Predict mixture cytotoxicity based on single and binary exposure data.
• Identify benchmark points of departure for cytotoxicity using ATP depletion data.
• Assess population health risks from rare earth element exposure in mining areas.
• Train consensus machine learning models for toxicological interaction prediction.

Strengths

• Data covers 16 rare earth ions and 120 binary combinations.
• Framework integrates high-throughput screening across eight human cell lines.
• Model validation includes correlation with human primary hepatocytes.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Yaqi Wang via figshare

Collection Method

High-throughput screening of single and binary exposures integrated with machine learning.

Freshness

Last updated 2026-05-16 13:35:41