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Researchers at Massachusetts General Hospital and Harvard Medical School have developed machine learning-based methods to predict which patients with early-stage melanoma have the highest risk for disease recurrence.The methods could help reveal those who may benefit from greater surveillance or adjuvant immunotherapy, the investigators wrote in a study published in npj Precision Oncology.
A new AI tool may help clinicians determine which early stage melanoma patients would likely benefit from aggressive treatment even at the onset of the disease.
The majority of melanoma deaths happen to individuals who were originally diagnosed with early-stage melanoma and then encountered a recurrence that is often not recognized until it has spread or metastasized.
According to a study, the majority of melanoma-related deaths occur in people who had an early-stage diagnosis of the most deadly kind of skin cancer and later suffered a recurrence that was often not noticed until it had spread or metastasized.