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Published June 15, 2023 | Version v1
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Dynomics: A Novel and Promising Approach for Improved Breast Cancer Prognosis Prediction

Description

Inglese, M., Ferrante, M., Boccato, T., Conti, A., Pistolese, C. A., Buonomo, O. C., D’Angelillo, R. M., & Toschi, N. (2023). Dynomics: A Novel and Promising Approach for Improved Breast Cancer Prognosis Prediction. Journal of Personalized Medicine, 13(6), 1004. https://doi.org/10.3390/jpm13061004

Other (English)

This research was funded by the Italian Ministry of University and Research (MUR) with the project #NEXTGENERATIONEU (NGEU); the National Recovery and Resilience Plan (NRRP) with the project MNESYS (PE0000006) (to NT)—A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022); the MUR-PNRR M4C2I1.3 PE6 project PE00000019 Heal Italia (to NT); the NATIONAL CENTRE FORHPC, BIG DATA AND QUANTUM COMPUTING, within the scope “Multiscale Modeling and Engineering Applications” (to NT); and the European Innovation Council with the projects CROSSBRAIN (Grant Agreement n. 101070908) and BRAINSTORM (Grant Agreement 101099355).

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Additional details

Identifiers

DOI
10.3390/jpm13061004

Funding

European Commission
BRAINSTORM - Wireless deep BRAIN STimulation thrOugh engineeRed Multifunctinal nanomaterials 101099355
European Commission
CROSSBRAIN - Distributed and federated cross-modality actuation through advanced nanomaterials and neuromorphic learning 101070908