Researchers at the University of Helsinki developed a machine learning-based imaging method to analyze head and neck cancer at a cellular level. The method identifies patient groups with either poor or favorable prognosis, offering a personalized approach to treatment. A diagnostic test based on this technology is under development, with potential applications for other cancer types.