Are we there yet? AI on traditional blood tests efficiently detects common and rare diseases

Abstract excerpt

<title>Abstract</title> <p>Chronic workforce shortages, unequal distribution, and rising labor costs are crucial challenges for most healthcare systems. The past years have seen a rapid technological transition to counter these pressures. We developed an AI-assisted software with ensemble learning on a retrospective data set of over one million patients that only uses routine and broadly available blood tests to...

Topics

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• AI in cancer detection
• Bioinformatics and Genomic Networks
• COVID-19 diagnosis using AI
• Genetic Associations and Epidemiology
• Genetics, Bioinformatics, and Biomedical Research
• Gut microbiota and health
• Radiomics and Machine Learning in Medical Imaging
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

5e29c7bc-c2d8-5a60-b9b1-04aaf9dbe59c

DOI

10.21203/rs.3.rs-4354480/v1