{"references": ["E Bertelli, L Mercatelli, C Marzi, E Pachetti, M Baccini, et al. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI., Fron in Oncology, 5515, 2021, https://doi.org/10.3389/fonc.2021.802964", "F Gioia, MA Pascali, A Greco, S Colantonio, EP Scilingo. Discriminating Stress From Cognitive Load Using Contactless Thermal Imaging Devices, 43rd Intl Conf of the IEEE EMBC, 2021, 10.1109/EMBC46164.2021.9630860", "S Colantonio, A Salvati, C Caudai, F Bonino, LD Rosa, MA Pascali, et al. A Deep Learning Approach for Hepatic Steatosis Estimation from Ultrasound Imaging, ICCCI, 703-714, 2021, https://doi.org/10.1007/978-3-030-88113-9_57", "K Lekadir et al. FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging, arXiv preprint arXiv:2109.09658, 2021", "R Buongiorno, D Germanese, S Colantonio, et al. UIP-Net: A Decoder-Encoder CNN for the Detection and Quantification of Usual Interstitial Pneumoniae Pattern in Lung CT Scan Images in, ICPR, 389-405, 2021", "M Gabelloni, L Faggioni, S Attanasio, S Colantonio, et al. Can magnetic resonance radiomics analysis discriminate parotid gland tumors? A pilot study, Diagnostics 10 (11), 900, 6, 2020", "D Germanese, L Mercatelli, S Colantonio, et al. Radiomics to Predict Prostate CancerAggressiveness: A Preliminary Study, 2019 IEEE 19th Int Conf on BIBE, 972-976, 2019", "D Germanese, S Colantonio, C Caudai, MA Pascali, A Barucci, N Zoppetti et al. May radiomic data predict prostate cancer aggressiveness? Int Conf CAIP, pp. 65-75, 2019", "D Germanese, S Colantonio, M D'Acunto, M Brunetto, V Romagnoli et al. Towards Chronic Liver Dysfunction Self-monitoring: a Proof-of-Concept Study, IEEE ISCC, 1107-1112, 2019", "D Germanese, S. Colantonio, M. D'Acunto et al. An e-nose for the monitoring of severe liver impairment: a preliminary study. Sensors, vol. 19 (17), 3656, MDPI, 2019", "S Colantonio, G Coppini, et al. Computer vision for ambient assisted living: Monitoring systems for personalized healthcare and wellness that are robust in the real world and accepted by users, carers, and society. Comp Vis for Assistive Healthcare, Springer 147-182, 2018", "G Coppini, R Favilla, A Gastaldelli, S Colantonio, P Marraccini Moving Medical Semeiotics to the Digital Realm. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies-Volume 5, pp. 606-613, INSTICC, 2014", "S Colantonio, M Martinelli, O Salvetti, IB Gurevich, YO Trusova Cell image analysis ontology, Pattern Recognition and Image Analysis, vol. 18, no 2, pp 332-341, 2008"]}

This presentation was hold at the workshop organised by ARTES ISAAC "Life Science & Healthcare Tech" on June 6, 2021. We presented some Proof-of-Concept studies related to precision medicine and radiomics.