Heller DA

ORCID: 0000-0002-6866-0000 · 2 papers in corpus

2022

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

Nature biomedical engineering ·doi:10.1038/s41551-022-00860-y

Serum biomarkers are often insufficiently sensitive or specific to facilitate cancer screening or diagnostic testing. In ovarian cancer, the few established serum biomarkers are highly specific, yet insufficiently sensitive to detect early-…

2018

Noninvasive ovarian cancer biomarker detection via an optical nanosensor implant.

Science advances ·doi:10.1126/sciadv.aaq1090

Patients with high-grade serous ovarian carcinoma (HGSC) exhibit poor 5-year survival rates, which may be significantly improved by early-stage detection. The U.S. Food and Drug Administration-approved biomarkers for HGSC-CA-125 (cancer ant…