Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data.
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| Title: | Predicting doxorubicin-induced cardiotoxicity in breast cancer: leveraging machine learning with synthetic data. |
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| Authors: | Araújo DC; Huna, São Paulo, SP, Brazil. dani@huna-ai.com.; Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. dani@huna-ai.com., Simões R; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.; Faculdade Ciências Médicas de Minas Gerais, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Sabino AP; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Oliveira AN; Instituto de Hipertensão, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Oliveira CM; Division of Sleep Surgery, Stanford University School of Medicine, Stanford, CA, USA., Veloso AA; Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Gomes KB; Faculdade de Farmàcia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. |
| Source: | Medical & biological engineering & computing [Med Biol Eng Comput] 2025 May; Vol. 63 (5), pp. 1535-1550. Date of Electronic Publication: 2025 Jan 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1741-0444 |
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| DOI: | 10.1007/s11517-025-03289-y |
