Progressive Approaches in Oncological Diagnosis and Surveillance: Real-Time Impedance-Based Techniques and Advanced Algorithms

Abstract

Cancer remains a formidable global health challenge, necessitating the development of innovative diagnostic techniques capable of early detection and differentiation of tumor/cancerous cells from their healthy counterparts. This review focuses on the confluence of advanced computational algorithms with noninvasive, label-free impedance-based biophysical methodologies—techniques that assess biological processes directly without the need for external markers or dyes. This review elucidates a diverse array of state-of-the-art impedance-based technologies, illuminating distinct electrical signatures inherent to cancer vs healthy tissues. Additionally, the study probes the transformative potential of these diagnostic modalities in recalibrating personalized cancer treatment paradigms. These modalities offer real-time insights into tumor dynamics, paving the way for precision-guided therapeutic interventions. By emphasizing the quest for continuous in vivo monitoring, these techniques herald a pivotal advancement in the overarching endeavor to combat cancer globally.