This research investigates how melanoma switches between two gene states—one fast-growing and treatable, the other slow but highly invasive and responsible for brain metastases. By identifying genes that control this transition, the study aims to force melanoma into a more treatable form, improving therapeutic options and patient outcomes.

Mel-AI is an artificial intelligence system designed to assist pathologists in distinguishing melanoma from benign moles. By training computer-vision models on 520 cases, the system reached 96% accuracy and interpretable outputs. It offers scalable, objective quality assurance, reducing misdiagnosis risk and improving melanoma detection in high-incidence countries like Australia.