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Predicting Grade and Patient Survival in Renal Cancer Using Machine Learning Analysis of Nucleolar Prominence.

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Title: Predicting Grade and Patient Survival in Renal Cancer Using Machine Learning Analysis of Nucleolar Prominence.
Authors: Ivanova, Elena1,2 (AUTHOR), Fayzullin, Alexey1,3 (AUTHOR) fayzullin_a_l@staff.sechenov.ru, Grinin, Victor4 (AUTHOR), Zhavoronkov, Dmitry4 (AUTHOR), Ermilov, Dmitry4 (AUTHOR), Balyasin, Maxim5 (AUTHOR), Timakova, Anna1 (AUTHOR), Bakulina, Alesia1 (AUTHOR), Osmanov, Yusif6 (AUTHOR), Rudenko, Ekaterina6 (AUTHOR), Arutyunyan, Alexander4 (AUTHOR), Parchiev, Ruslan7 (AUTHOR), Shved, Nina8 (AUTHOR), Astaeva, Marina9 (AUTHOR), Lychagin, Aleksey10 (AUTHOR), Demura, Tatiana6 (AUTHOR), Timashev, Peter1,3 (AUTHOR)
Source: Cancer Medicine. Sep2025, Vol. 14 Issue 17, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Predicting Grade and Patient Survival in Renal Cancer Using Machine Learning Analysis of Nucleolar Prominence.
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  Data: <searchLink fieldCode="JN" term="%22Cancer+Medicine%22">Cancer Medicine</searchLink>. Sep2025, Vol. 14 Issue 17, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187891408
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