The goal [with chemotherapy] is basically to poison the tumor cells faster than non-cancerous cells, but the side effects of going after an aggressive disease like this can be devastating. These traditional treatment schedules don’t take into account differences in tumor size, medical histories, genetic profiles, and biomarkers. The system developed by MIT does that, resulting in lowered dosages and sometimes even skipping doses altogether.
Source: Whitwam, R. (2018). MIT Creates AI to Optimize Brain Cancer Treatment.
Machine learning algorithms that modify the dosage and frequency of cancer medication, significantly reducing the overall toxicity of the treatment. These results are only in simulations though, so we we’ll have to wait and see what happens when the new regimes are implemented in RCTs with real patient populations. Sounds promising though.