A team of researchers has developed a Machine Learning and Deep Learning model for classifying liver nuclei in immunofluorescence images, potentially aiding in the early diagnosis of hepatocellular carcinoma. The lead researcher, Fabrizio Frezza, is an expert in electromagnetic fields and has conducted extensive research in various applications of artificial intelligence.