AI Can Adjust Dosage For Cancer Patients
22, Aug 2018
Prelims level : Science & Tech Mains level :
- MIT researchers are using an artificial intelligence (AI) model that would help determine the correct drug dosage and, in turn, reduce debilitating side effects for brain cancer patients.
- Powered by a “self-learning” machine-learning technique i.e ARTIFICIAL INTELLIGENT, the model looks at treatment regimens currently in use, and iteratively adjusts the doses.
- Eventually, it finds an optimal treatment plan, with the lowest possible potency and frequency of doses that should still reduce tumour sizes to a degree comparable to that of traditional regimens.
- Glioblastoma is a type of cancer – malignant tumour that appears in the brain or spinal cord, and prognosis for adults is no more than five years. There is no cure for it.
- Generally, administer maximum safe drug doses to shrink the tumour as much as possible. However, these strong pharmaceuticals still cause debilitating side effects in patients.
- Patients must endure a combination of radiation therapy and multiple drugs taken every month.
- This system provides alternate for it. Can help reduce toxic chemotherapy dosing for the most aggressive form of brain cancer, potentially improving the quality of life for patients.