bioAffinity Technologies, Inc.

Business Overview We develop noninvasive diagnostic laboratory tests to detect early-stage lung cancer and other diseases of the lung using flow cytometry and automated analysis informed by machine learning, a form of artificial intelligence (AI). Our first commercial diagnostic test, CyPath Lung, identifies and analyzes cell populations using flow cytometry, including cancer and cancer-related cells, that indicate a malignancy in the lung. CyPath Lung addresses the need for noninvasive detection of early-stage lung cancer with the proven ability to detect the leading cancer killer at its curative Stage 1A. Lung cancer is the leading cause of cancer-related deaths worldwide. Physicians order CyPath Lung to assist in their assessment of patients who are at high risk for lung cancer. The CyPath Lung test enables physicians to more confidently identify patients who will likely benefit from timely intervention and more invasive follow-up procedures or those patients who are likely without lung cancer and should continue screening in accordance with guidelines. For patients with small pulmonary nodules less than 20 millimeters (mm), CyPath Lung has shown 92% sensitivity and 87% specificity with 88% accuracy in a clinical trial, offering the potential to increase the overall diagnostic accuracy of lung cancer testing, which could lead to increased survival, fewer unnecessary invasive procedures, reduced patient anxiety, and lower medical costs.