ISMI4PM Laboratory – Intelligent Systems and Medical Informatics for Precision Medicine Laboratory

Lab Team

Lab Mission

The lab will include a complete facility for designing, developing and testing bioinformatics pipelines for genomic data analysis in order to extract biomarkers able to predict prognostic and therapy outcomes due to pathological conditions; such pipelines would allow the processing of sequenced data coming from multiple services. Integrating biomarkers with features extracted from bioimages, biosignals and biodata, would be also possible to better characterize the referral clinical condition (radiomics and radiogenomics), to monitor it over time and customize the therapeutic approach, according to the Precision Medicine paradigm.

Link: https://labinfind.poliba.it/ricerca-scientifica/pnrr/brief/ismi4pm/

Scientific Publications

Brunetti, A., Buongiorno, D., Altini, N., Bevilacqua, V. Enabling Technologies for Optimized Diagnosis, Therapy and Rehabilitation: Obtained Results and Future Works. In: Bochicchio, M., Siciliano, P., Monteriù, A., Bettelli, A., De Fano, D. (eds) Ambient Assisted Living. ForItAAL 2023. Lecture Notes in Bioengineering. Springer, Cham. doi: 10.1007/978-3-031-63913-5_19

Altini, N., Rossini, M., Turkevi-Nagy, S., Pesce, F., Pontrelli, P., Prencipe, B., Berloco, F., Seshan, S., Gibier, J. B., Dorado, A. P., Bueno, G., Peruzzi, L., Rossi, M., Eccher, A., Li, F., Koumpis, A., Beyan, O., Barratt, J., Huy Quoc, V., Mohan, C., Van Nguyen, H., Cicalese, P. A., Ernst, A., Gesualdo, L., Bevilacqua, V., Becker, J. U. Performance and Limitations of a Supervised Deep Learning Approach for the Histopathological Oxford Classification of Glomeruli with IgA Nephropathy. Computer Methods and Programs in Biomedicine, 2023, p.107814. doi: 10.1016/j.cmpb.2023.107814

Gentile, E., Brunetti, A., Ricci, K., Vecchio, E., Santoro, C., Sibilano, E., Bevilacqua, V., Iliceto, G., Craighero, L., de Tommaso, M. Effects of movement congruence on motor resonance in early Parkinson’s disease. Scientific Reports, 2023, 13(1), p.14887. doi: 10.1038/s41598-023-42112-2

Prencipe, B., Delprete, C., Garolla, E., Corallo, F., Gravina, M., Natalicchio, M. I., Buongiorno, D., Bevilacqua, V., Altini, N., Brunetti, A. An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients. Bioengineering. 2023; 10(7):747. doi: 10.3390/bioengineering10070747

Sibilano, E., Brunetti, A., Buongiorno, D., Lassi, M., Grippo, A., Bessi, V., Micera, S., Mazzoni, A., Bevilacqua, V. An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG. J Neural Eng. 2023 Feb 6. doi: 10.1088/1741-2552/acb96e.

Suglia, V., Brunetti, A., Pasquini, G., Caputo, M., Marvulli, T. M., Sibilano, E., Della Bella, S., Carrozza, P., Beni, C., Naso, D., Monaco, V., Cristella, G., Bevilacqua, V., Buongiorno, D. A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality. Sensors. 2023; 23(11):5017 doi: 10.3390/s23115017

Zaccaria G.M., Berloco, F., Buongiorno, D., Brunetti, A., Altini, N., Bevilacqua, V. A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma. Computer Methods and Programs in Biomedicine, 2024, p.108408. doi: 10.1016/j.cmpb.2024.108408

Sibiliano, E., Buongiorno, D., Lassi, M., Grippo, A., Bessi, V., Sorbi, S., Mazzoni, A., Bevilacqua, V., Brunetti, A. Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG, 2024, 28(6):3422-3433. doi:110.1109/JBHI.2024.3390606

Berloco, F., Marvulli, P.M., Suglia, V., Colucci, S., Pagano, G., Palazzo, L., Aliani., M., Castellana, G., Guido, P., D’Addio, G., Bevilacqua, V. Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare. Applied Sciences, 2024, 14(14), 6084. doi: 10.3390/app14146084 

Clemente, L., La Rocca, M., Paparella, G., Delussi, M., Tancredi, G., Ricci, K., Procida, G., Introna, A., Brunetti, A., Taurisano, P., Bevilacqua, V., de Tommaso, M. Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study, 2024, Sensors, 24(7), 2329. doi: 10.3390/s24072329

Berloco, F., Zaccaria G.M., Altini, N., Colucci, S., Bevilacqua, V. A Multimodal Framework for Assessing the Link between Pathomics, Transcriptomics, and Pancreatic Cancer Mutations. Computerized Medical Imaging and Graphics, 2025, p. 102526. doi: 10.1016/j.compmedimag.2025.102526

Zaccaria G.M., Altini, N., Mongelli, V., Marino, F., Bevilacqua, V. Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma, 2025, p. 105883., doi: 10.1016/j.ijmedinf.2025.105883

Devices 

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