Using Artificial Intelligence to Deliver Personalized Radiation Therapy

Cleveland Clinic researchers have trained an advanced computer network to find subtle radiation sensitivity features in the CT scans of individual lung cancer patients that can predict the likelihood of successful radiotherapy outcomes. The network can generate a personalized radiation dose plan that reduces the probability of treatment failure to less than 5%.

Unlocking the Secret to Tumors’ Varying Radiation Vulnerability

A team including Cleveland Clinic researchers has identified a variety of genetic determinants that enable cancer cells to survive after exposure to radiation. The research could pave the way for biomarkers to predict individual cancer patients’ radiotherapy outcomes, and to customized radiation treatments that exploit the genetic alterations present in a patient’s tumor.

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