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Exploratory unsupervised machine learning of angiogenesis biomarkers in a phase II advanced cervical cancer trial of radiochemotherapy with or without neoadjuvant chemotherapy

Crossref DOI link: https://doi.org/10.1016/j.clinsp.2025.100723

Published Print: 2025-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Arai, Roberto J. https://orcid.org/0000-0001-5617-1042
da Costa, Thiago R. https://orcid.org/0009-0009-2303-6798
Bonadio, Renata Colombo https://orcid.org/0000-0001-5818-922X
Ferreira, Silvaneide https://orcid.org/0009-0001-2200-4438
Sichero, Laura https://orcid.org/0000-0002-7999-5818
Monteiro, Hugo P. https://orcid.org/0000-0003-1194-670X
Stern, Arnold https://orcid.org/0009-0006-8449-116X
Estevez-Diz, Maria Del Pilar https://orcid.org/0000-0003-3176-9747
Funding

Funding for this research was provided by:

State of Sao Paulo Research Foundation (14/01696-1)
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Text and Data Mining valid from 2025-01-01

Text and Data Mining valid from 2025-01-01

Version of Record valid from 2025-07-10
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This article is maintained by: Elsevier

Article Title: Exploratory unsupervised machine learning of angiogenesis biomarkers in a phase II advanced cervical cancer trial of radiochemotherapy with or without neoadjuvant chemotherapy

Journal Title: Clinics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.clinsp.2025.100723

Content Type: article

Copyright: © 2025 HCFMUSP. Published by Elsevier España, S.L.U.

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