Paper

Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learning

Published Mar 1, 2022 · Mijin Kim, Chen Chen, Peng Wang

Nature Biomedical Engineering

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Abstract

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Rigorous JournalHighly Cited

Study Snapshot

Quantum defect-modified carbon nanotubes in serum can detect ovarian cancer with 87% sensitivity and 98% specificity, potentially identifying unidentified serum biomarkers.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learning

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