Machine Learning for H-FIRE Protocols

Microwave (MW) technologies are increasingly being employed in biomedicine and health care. Applications such as MW ablation (MWA), MW sensors for the realtime monitoring of physiological parameters, and lab-on-a-chip devices are just some of the examples in a wide variety of possibilities. Recently, highfrequency irreversible electroporation (H-FIRE) has been attracting more attention due to its important applications in oncology. It uses pulsed electrical fields (PEFs) to induce a controlled but irreversible process of permeabilization of cell membranes, thus triggering a substantial alteration in the physiological equilibria of cells, ultimately leading to their death.