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Correction: A Machine Learning Model to Predict Patients' Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial.
Masiero M, Spada GE, Sanchini V, Munzone E, Pietrobon R, Teixeira L, Valencia M, Machiavelli A, Fragale E, Pezzolato M, Pravettoni G. Masiero M, et al. Among authors: pezzolato m. JMIR Res Protoc. 2024 Jan 15;13:e55928. doi: 10.2196/55928. JMIR Res Protoc. 2024. PMID: 38224582 Free PMC article.
A Machine Learning Model to Predict Patients' Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial.
Masiero M, Spada GE, Sanchini V, Munzone E, Pietrobon R, Teixeira L, Valencia M, Machiavelli A, Fragale E, Pezzolato M, Pravettoni G. Masiero M, et al. Among authors: pezzolato m. JMIR Res Protoc. 2023 Dec 14;12:e48852. doi: 10.2196/48852. JMIR Res Protoc. 2023. PMID: 38096002 Free PMC article.
RNAseq Analysis of Livers from Pigs Treated with Testosterone and Nandrolone Esters: Selection and Field Validation of Transcriptional Biomarkers.
Benedetto A, Šťastný K, Giaccio N, Marturella M, Biasibetti E, Arigoni M, Calogero R, Gili M, Pezzolato M, Tošnerová K, Hodkovicová N, Faldyna M, Puleio R, Bozzo G, Bozzetta E. Benedetto A, et al. Among authors: pezzolato m. Animals (Basel). 2023 Nov 13;13(22):3495. doi: 10.3390/ani13223495. Animals (Basel). 2023. PMID: 38003113 Free PMC article.
Vulvo-vaginal epithelial tumors in mares: A preliminary investigation on epithelial-mesenchymal transition and tumor-immune microenvironment.
Armando F, Porcellato I, de Paolis L, Mecocci S, Passeri B, Ciurkiewicz M, Mechelli L, Grazia De Ciucis C, Pezzolato M, Fruscione F, Brachelente C, Montemurro V, Cappelli K, Puff C, Baumgärtner W, Ghelardi A, Razzuoli E. Armando F, et al. Among authors: pezzolato m. Vet Pathol. 2024 May;61(3):366-381. doi: 10.1177/03009858231207025. Epub 2023 Nov 1. Vet Pathol. 2024. PMID: 37909398
55 results