Magnetic Hyperthermia Dataset

Hyperthermia exposes tumor to a high temperature to kill cancer cells. By locally heating the tumor site, this method achieves a less invasive treatment with minimum side effects compared to traditional cancer treatments. Among different heating approaches, magnetic hyperthermia uses heat generation of magnetic nanoparticles. Magnetic nanoparticles generate heat when stimulated by an alternating magnetic field. The heating efficiency depends on multiple parameters including magnetic properties of magnetic nanoparticles and magnetic field used to stimulate the nanoparticles. This dataset contains physical and magnetic properties of magnetic nanoparticles, external magnetic field conditions, and specific absorption rate (SAR) representing the heat generation efficiency of magnetic nanoparticles. This dataset can be used to build machine learning models to predict heating efficiency of magnetic nanoparticles.