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Rabiga Kadyrbayeva on Muck Rack

Rabiga Kadyrbayeva

As seen in: Nature
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Articles

Integrating machine learning survival and large language models for prognostics of thyroid cancer

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By Farideh Hosseinzadeh, Mahsa Elyasi, S. Mohammadi, Dauren Adilbay, Luiz Paulo Kowalski, Jatin J. Shah, Richard Wong, Robert Tuttle Verified, Snehal Patel, Ian Ganly, Seyed Hamidreza Mohammadi, Dan Scholfield, Rabiga Kadyrbayeva
| Nature Verified
Abstract Differentiated thyroid cancer (DTC) has an excellent prognosis, yet some patients develop recurrence or metastasis years post-treatment. The American Thyroid Association (ATA) systems provide population-level estimates but lack individualized, time-dependent predictions. We developed a system integrating random survival forest (RSF) models with large language models (LLMs) to generate personalized survival predictions and guideline-concordant recommendations.
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