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Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study.
Araujo DC, Rocha BA, Gomes KB, da Silva DN, Ribeiro VM, Kohara MA, Tostes Marana F, Bitar RA, Veloso AA, Pintao MC, da Silva FH, Viana CF, de Souza PHA, da Silva IDCG. Araujo DC, et al. Among authors: da silva idcg. Sci Rep. 2024 May 12;14(1):10841. doi: 10.1038/s41598-024-61215-y. Sci Rep. 2024. PMID: 38736010 Free PMC article.
Biochemical phenotyping of multiple myeloma patients at diagnosis reveals a disorder of mitochondrial complexes I and II and a Hartnup-like disturbance as underlying conditions, also influencing different stages of the disease.
da Silva IDCG, de Castro Levatti EV, Pedroso AP, Marchioni DML, Carioca AAF, Colleoni GWB. da Silva IDCG, et al. Sci Rep. 2020 Dec 14;10(1):21836. doi: 10.1038/s41598-020-75862-4. Sci Rep. 2020. PMID: 33318510 Free PMC article. Clinical Trial.
Distinct pattern of one-carbon metabolism, a nutrient-sensitive pathway, in invasive breast cancer: A metabolomic study.
Santos JR, Waitzberg DL, da Silva IDCG, Junior TCT, Barros LRC, Canuto GAB, Faccio AT, Yamaguchi LF, Kato MJ, Tavares MFM, Martinez AC, Logullo ÂF, Torrinhas RSMM, Ravacci G. Santos JR, et al. Among authors: da silva idcg. Oncotarget. 2020 May 5;11(18):1637-1652. doi: 10.18632/oncotarget.27575. eCollection 2020 May 5. Oncotarget. 2020. PMID: 32405339 Free PMC article.
93 results