Researchers are using machine learning to ease the harsh effects of treating glioblastoma, the form of brain cancer that took the life of Senator John McCain.
The initiative underway at MIT offers hope for those patients suffering from the condition, as the new approach could reduce the toxicity of chemotherapy and radiotherapy.
The machine learning model, which was trained on 50 simulated patients randomly selected from a large database of glioblastoma patients, assesses traditional treatment regimens and iteratively adjusts the doses to the lowest possible potency and frequency while still shrinking brain tumors.
