Articles

A new AI tool identifies generic drugs with anticancer potential

Researchers use machine learning to identify generic drugs that are promising candidates for affordable and accessible cancer treatments.
Written byNatalya Ortolano, PhD
| 3 min read
Person in white lab coat with a stethoscope around neck holds a blue cancer ribbon

CREDIT: iStock/Chinnapong

While navigating her mother’s treatment with multiple myeloma, Laura Kleiman realized that there was an untapped treatment resource: generic drugs. As scientific director of the Dana Farber Institute at the time, she brought researchers, oncologists, and machine learning engineers together to tackle questions in cancer research and clinical care.

Laura Kleiman, founder of Reboot Rx, plans to repurpose non-cancer generic drugs to give cancer patients new, affordable treatment options.
Credit: Laura Kleiman

After her mother lost her cancer battle, Kleiman decided to redirect her leadership skills to found a new tech start-up called Reboot Rx with the goal of using artificial intelligence to find promising generic drug candidates. She organized a team of developers to build the artificial intelligence (AI) tool from scratch, and her burgeoning tool caught the eye of cancer researchers and patient advocates. Now, she is ready to put her newly developed tool to the test by working with Brian McCloskey, a patient advocate, to identify new generic drug candidates for prostate cancer.

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About the Author

  • Natalya Ortolano, PhD Headshot

    Natalya received her PhD in from Vanderbilt University in 2021; she joined the DDN team the same week she defended her thesis. Her work has been featured at STAT News, Vanderbilt Magazine, and Scientific American. As an assistant editor, she writes and edits online and print stories on topics ranging from cows to psychedelics. Outside of work you can probably find her at a concert in her hometown Nashville, TN.

    View Full Profile

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November 2021 Issue Front Cover
Volume 17 - Issue 11 | November 2021

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