Machine Learning for Building Personalized Cancer Nanomedicines: Interview with Dr. Daniel Heller

Dan Heller

Researchers at the Sloan Kettering Institute and the Weill Cornell Graduate School of Medical Sciences in New York have developed a machine learning approach to design personalized nanoparticle therapies for cancer.

Personalized cancer therapies aim to provide a treatment that is tailored to the genetic makeup of a patient’s tumor. They (Read more...)

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