An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor
Tao Hu, Haoyu Xiao, Shanling Ji, Zhihao Wu, Yunlin Quan, Zhen Wang, Xiao Li, Jianxiong Zhu, Zhonghua Ni · Journal of Materials Chemistry B · 2025
particles per mL. It also effectively discriminated between serum samples from healthy individuals and ovarian cancer patients at different stages. Additionally, machine learning was applied to analyze detection data, resulting in a diagnostic model with a 97.78% prediction accuracy. This highlights the sensor's potential in revolutionizing early cancer detection and establishing new diagnostic models.