Healthcare and Biomedical Datasets for AI and ML

A collection of healthcare and biomedical datasets curated for AI and ML applications. The datasets cover topics including Omics, Imaging, Clinical, and Biomedical data. Specific details on row counts, column counts, and individual dataset structures are not provided.

Use Cases

• Apply machine learning to Omics data for genomic or proteomic analysis.
• Train computer vision models on biomedical Imaging datasets for diagnostic tasks.
• Analyze Clinical data to identify patterns in patient health records.
• Use Biomedical datasets for drug discovery or biomarker identification research.

Strengths

• The collection is licensed under the permissive CC0-1.0 license.
• It was last updated on February 23, 2025, indicating recent maintenance.
• The collection covers multiple high-impact domains including Omics, Imaging, and Clinical data.

Limitations

• The input provides no concrete metrics such as total row count, column definitions, or dataset sizes.
• The description is generic, lacking specifics on the number of datasets, their individual scopes, or data quality.
• Without sample data or column information, the usability and structure of the contained datasets are unknown.

Provenance

Source

github

Collection Method

Curated list (Awesome List) of datasets.

Freshness

The collection was last updated on 2025-02-23.