A.I Model Makes Cancer Treatments Less Toxic For Patients

MIT researchers developed a machine-learning technique that reduces toxic chemotherapy and radiotherapy dosing for the most aggressive form of brain cancer, thus improving the quality of life of the patients. Glioblastoma is a malignant tumor that is so violent, the prognosis for adults stands at no more than five years. It appears in the brain or the spinal cord and once it sets in, the patients try to fight it by using a combination of radiation therapy and various drugs, every month. The strong medication they use still cause serious side effects and even so, medical professionals still administer the maximum safe dose they are allowed. Enter MIT, who built an AI model that uses a technique called Reinforced Learning (RL), in which a model learns to favor a certain behaviour that eventually leads to a desired outcome.