Prediction of Cellular Malignancy Using Electrical Impedance Signatures and Supervised Machine Learning

arXiv:2601.04478v1 Announce Type: cross Abstract: Bioelectrical properties of cells such as relative permittivity, conductivity, and characteristic time constants vary significantly between healthy and malignant cells across different frequencies. These distinctions provide a promising foundation f…