In questa sezione potrete consultare i risultati del progetto DARE in open access: risorse software su GitHub, pubblicazioni su Zenodo, e dataset pubblici.
Arcobelli, V. A., Moscato, S. et al.MOTU data. FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients. UNIBO. Zenodo, 2024. Disponibile su: https://zenodo.org/records/12192276.
Arcobelli, V. A., Moscato, S. et al.FHIRED MOTU data. FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients. UNIBO. Zenodo, 2024. Disponibile su: https://zenodo.org/records/12192333.
Prinzi, F., Militello, C. et al.MultiD4CAD: Multimodal Dataset composed of CT and Clinical Features for Coronary Artery Disease Analysis. UNIPA. Zenodo, 2025. Disponibile su: https://zenodo.org/records/15148653.
Mellone, S., Viceconti, M., et al. Uso di sensori indossabili in studi clinici: aspetti regolatori. White Paper. Zenodo. 2023. Disponibile su: https://zenodo.org/records/10071253.
Viceconti, M. Assessing the credibility of quantitative information: a general framework. Preprint. Zenodo. 2025. Disponibile su: https://zenodo.org/records/15340847.
Viceconti, M. Supplementary material to the manuscript “Assessing the credibility of quantitative information: a general framework”. Supplementary Material. Zenodo. 2025. Disponibile su: https://zenodo.org/records/15340552.