bioAffinity: Noninvasive Test Developed Using Machine Learning Detects Early-Stage Lung Cancer

 -bioAffinity Technologies, Inc. (NASDAQ: BIAF; BIAFW) today announced publication of "Detection of early-stage lung cancer in sputum using automated flow cytometry and machine learning" detailing results of the Company’s clinical trial for its non-invasive diagnostic CyPath® Lung in Respiratory Research, one of the leading peer-reviewed open access journals in the field of respiratory medicine.

CyPath® Lung showed 92% sensitivity and 87% specificity in high-risk patients who had nodules smaller than 20 millimeters or no nodules in the lung, with an area under the ROC curve of 94%. Overall, the test resulted in specificity of 88% and sensitivity of 82%, similar to far more invasive procedures currently used to diagnose lung cancer. More than half of those in the cancer cohort had early Stage I or II lung cancer. CyPath® Lung detected multiple forms of cancer including adenocarcinoma, squamous cell carcinoma and small cell lung cancer.

https://finance.yahoo.com/news/bioaffinity-technologies-announces-publication-results-130000525.html