taRgeted thErapy for adVanced colorEctal canceR paTients

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

REVERT Website

A REVERT website will be designed and maintained, providing open-access to appropriate project information, learning experience for visitors including slides, and publications.

"""First study subject"" approvals package"

The approval package will include1 Final version of REVERT study protocol2 Registration number of clinical study in EudraCT registry that will allow posting of study results3 Approvals from ethics committees and national competent authorities for enrolment of first subject in at least one clinical centre4 Incidental findings policyThe PI will notify to the central IRB the actual beginning of the clinical study represented by the first patient enrolled

Dissemination and communication activity report 1

Dissemination and communication activity reports will be released at M12 and yearly, thereafter, for the entire project life.

Report on SOPs for sample collection, processing and storage, including indicators to monitor quality of samples

Standard operation procedures (SOPs) for samples collection, processing and storage may differ in relation to the type of biomarker to investigate. The SOPs will be designed on the basis of both the biochemical characteristics and the expected grade of stability of every biomarker (or biomarker family). The reference criterion for the validation and the optimization of the SOPs will be the grade of conservation of the analyte through the process. Therefore, when requested by fragile biomarkers, SOPs will be delivered in association with appropriate criteria to assess the stability of the analyte.

Production of shared procedures and choice of the QC material(s) for quality monitoring of analytical phases

Suitable quality control materials will be tested for each marker in comparison to the real matrix according to a standardized procedure, that will be matter of a deliverable. A directory of quality control material(s) recommended for every biomarker will be also delivered. A directory of biomarker(s) for which no commercially available/reliable quality control material(s) will be produced.

Dissemination and communication activity report 2

Dissemination and communication activity reports will be released at M12 and yearly thereafter for the entire project life

Dissemination and communication activity report 3

Dissemination and communication activity reports will be released at M12 and yearly thereafter for the entire project life

FAIR Data management Plan (DMP)

A document structured in various chapters (following the EU instructions) dedicated to: Data Summary; FAIR principles; Resources; Data security; Ethical aspects and other national/funder/sectorial/departmental procedures for data management in use.

Pubblicazioni

Gene-Mutation-Based Algorithm for Prediction of Treatment Response

Autori: Johnson, Heather; El-Schich, Zahra; Amjad, Ali; Zhang, Xuhui; Simoulis, Athanasios; Gjörloff Wingren, Anette; Jenny, Persson
Pubblicato in: Cancers, Numero Vol. 14, nr 8, artikel-id 2045, 2022, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14082045

Red-Emitting Polymerizable Guanidinium Dyes as Fluorescent Probes in Molecularly Imprinted Polymers for Glyphosate Detection

Autori: Martha Kimani; Víctor Pérez-Padilla; Virginia Valderrey; Kornelia Gawlitza; Knut Rurack
Pubblicato in: Chemosensors, Numero 10(3), 2022, Pagina/e 99, ISSN 2227-9040
Editore: MDPI
DOI: 10.3390/chemosensors10030099

Bacterial protein MakA causes suppression of tumour cell proliferation via inhibition of PIP5K1α/Akt signalling

Autori: Toh, Eric; Baryalai, Palwasha; Nadeem, Aftab; Aung, Kyaw Min; Chen, Sa;Persson, Karina;Persson, Jenny L.; Uhlin, Be
Pubblicato in: Cell Death and Disease, 2022, ISSN 2041-4889
Editore: Nature Publishing Group
DOI: 10.1038/s41419-022-05480-7

Applications of Tumor Cells in an In Vitro 3D Environment

Autori: Sylwia Hasterok, Anna Gustafsson, Anette Gjörloff Wingren
Pubblicato in: Applied Sciences, Numero 13, 2023, Pagina/e 10349, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app131810349

Irinotecan- vs. Oxaliplatin-Based Doublets in KRASG12C-Mutated Metastatic Colorectal Cancer—A Multicentre Propensity-Score-Matched Retrospective Analysis

Autori: Vincenzo Formica, Cristina Morelli, Veronica Conca, Maria Alessandra Calegari, Jessica Lucchetti, Emanuela Dell’Aquila, Marta Schirripa, Marco Messina, Lisa Salvatore, Federica Lo Prinzi, Giovanni Dima, Giovanni Trovato, Silvia Riondino, Mario Roselli, Ferdinandos Skoulidis, Hendrik-Tobias Arkenau, Chiara Cremolini
Pubblicato in: Cancers, Numero 15, 2023, Pagina/e 3064, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15113064

Is High Expression of Claudin-7 in Advanced Colorectal Carcinoma Associated with a Poor Survival Rate? A Comparative Statistical and Artificial Intelligence Study.

Autori: Ianole V, Danciu M, Volovat C, Stefanescu C, Herghelegiu CP, Leon F, Iftene A, Cusmuliuc CG, Toma B, Drug V, Ciobanu Apostol DG
Pubblicato in: Cancers, Numero 14(12):2915, 2022, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14122915

Potential Utility of Induced Translocation of Engineered Bacteria as a Therapeutic Agent for Mounting a Personalized Neoantigen‐Based Tumor Immune Response

Autori: Ginés Luengo-Gil; Pablo Conesa-Zamora
Pubblicato in: Crossref, Numero 2, 2021, ISSN 2056-6646
Editore: Wiley-VCH
DOI: 10.1002/gch2.202100051

Biospecimen Digital Twins: Moving from a “High Quality” to a “Fit-for-Purpose” Concept in the Era of Omics Sciences

Autori: UMBERTO NANNI, PATRIZIA FERRONI, SILVIA RIONDINO, ANTONELLA SPILA, MARIA GIOVANNA VALENTE, GIROLAMO DEL MONTE, MARIO ROSELLI, FIORELLA GUADAGNI
Pubblicato in: Cancer Genomics - Proteomics, Numero 20, 2023, Pagina/e 211-221, ISSN 1109-6535
Editore: International Institute of Anticancer Research
DOI: 10.21873/cgp.20376

Enhanced SREBP2-driven cholesterol biosynthesis by PKCλ/ι deficiency in intestinal epithelial cells promotes aggressive serrated tumorigenesis

Autori: Yu Muta, Juan F. Linares, Anxo Martinez-Ordoñez, Angeles Duran, Tania Cid-Diaz, Hiroto Kinoshita, Xiao Zhang, Qixiu Han, Yuki Nakanishi, Naoko Nakanishi, Thekla Cordes, Gurpreet K. Arora, Marc Ruiz-Martinez, Miguel Reina-Campos, Hiroaki Kasashima, Masakazu Yashiro, Kiyoshi Maeda, Ana Albaladejo-Gonzalez, Daniel Torres-Moreno, José García-Solano, Pablo Conesa-Zamora, Giorgio Inghirami, Christia
Pubblicato in: Nature Communications, Numero 14, 2023, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-023-43690-5

Role of Non-Coding RNAs in Colorectal Cancer: Focus on Long Non-Coding RNAs

Autori: Matteo Lulli, Cristina Napoli, Ida Landini, Enrico Mini, Andrea Lapucci
Pubblicato in: International Journal of Molecular Sciences, Numero 23, 2024, Pagina/e 13431, ISSN 1422-0067
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms232113431

Evaluating Explainable Machine Learning Models for Clinicians

Autori: Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto
Pubblicato in: Cognitive Computation, Numero 16, 2024, Pagina/e 1436-1446, ISSN 1866-9956
Editore: Springer Verlag
DOI: 10.1007/s12559-024-10297-x

Thiourea‐ and Amino‐Substituted Benzoxadiazole Dyes with Large Stokes Shifts as Red‐Emitting Probe Monomers for Imprinted Polymer Layers Targeting Carboxylate‐Containing Antibiotics

Autori: Virginia Valderrey, Kornelia Gawlitza, Knut Rurack
Pubblicato in: Chemistry – A European Journal, Numero 28, 2023, Pagina/e e202104525, ISSN 0947-6539
Editore: John Wiley & Sons Ltd.
DOI: 10.1002/chem.202104525

Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation

Autori: Cristina Morelli, Michela Rofei, Silvia Riondino, Daniela Fraboni, Francesco Torino, Augusto Orlandi, Manfredi Tesauro, Giovanna Del Vecchio Blanco, Massimo Federici, Hendrik-Tobias Arkenau, Vincenzo Formica, Mario Roselli
Pubblicato in: Cancers (Basel), 2022, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14112594

XAI Unveiled: Revealing the Potential of Explainable AI in Medicine - A Systematic Review

Autori: Noemi Scarpato, Patrizia Ferroni, Fiorella Guadagni
Pubblicato in: IEEE Access, 2024, Pagina/e 1-1, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3514197

SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms

Autori: Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez
Pubblicato in: AI, Numero 5, 2024, Pagina/e 2353-2374, ISSN 2673-2688
Editore: MDPI
DOI: 10.3390/ai5040116

Global Methylome Scores Correlate with Histological Subtypes of Colorectal Carcinoma and Show Different Associations with Common Clinical and Molecular Features.

Autori: María Del Carmen Turpin-Sevilla; Fernando Perez-Sanz; José García-Solano; Patricia Sebastian-Leon; Javier Trujillo-Santos; Pablo Carbonell; Eduardo Estrada; Anne Tuomisto; Irene Herruzo; Lochlan Fennell; Lochlan Fennell; Markus J. Mäkinen; Edith Rodriguez-Braun; Vicki L. J. Whitehall; Vicki L. J. Whitehall; Ana Conesa; Pablo Conesa-Zamora
Pubblicato in: Volume 13, Numero 2, 2021, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers13205165

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients

Autori: Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh, Mario Roselli, Patrizia Ferroni, Fiorella Guadagni, Fabio Massimo Zanzotto
Pubblicato in: Expert Systems with Applications, Numero 256, 2024, Pagina/e 124859, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2024.124859

JUN mediates the senescence associated secretory phenotype and immune cell recruitment to prevent prostate cancer progression

Autori: Torben Redmer, Martin Raigel, Christina Sternberg, Roman Ziegler, Clara Probst, Desiree Lindner, Astrid Aufinger, Tanja Limberger, Karolina Trachtova, Petra Kodajova, Sandra Högler, Michaela Schlederer, Stefan Stoiber, Monika Oberhuber, Marco Bolis, Heidi A. Neubauer, Sara Miranda, Martina Tomberger, Nora S. Harbusch, Ines Garces de los Fayos Alonso, Felix Sternberg, Richard Moriggl, Jean-Philipp
Pubblicato in: Molecular Cancer, Numero 23, 2024, ISSN 1476-4598
Editore: BioMed Central
DOI: 10.1186/s12943-024-02022-x

Targeted inhibition of ERα signaling and PIP5K1α/Akt pathways in castration‐resistant prostate cancer

Autori: Julius Semenas, Tianyan Wang, Azharuddin Sajid Syed Khaja, AKM Firoj Mahmud, Athanasios Simoulis, Thomas Grundström, Maria Fällman, Jenny L. Persson
Pubblicato in: Molecular Oncology, Numero 15, 2023, Pagina/e 968-986, ISSN 1574-7891
Editore: Elsevier BV
DOI: 10.1002/1878-0261.12873

Sialyl-Tn Antigen-Imprinted Dual Fluorescent Core–Shell Nanoparticles for Ratiometric Sialyl-Tn Antigen Detection and Dual-Color Labeling of Cancer Cells

Autori: Shan Jiang, Tianyan Wang, Sandra Behren, Ulrika Westerlind, Kornelia Gawlitza, Jenny L. Persson, Knut Rurack
Pubblicato in: ACS Applied Nano Materials, Numero 5, 2023, Pagina/e 17592-17605, ISSN 2574-0970
Editore: ACS Publications
DOI: 10.1021/acsanm.2c03252

Principles of Molecular Utility for CMS Classification in Colorectal Cancer Management

Autori: Leili Rejali, Romina Seifollahi Asl, Fatemeh Sanjabi, Nayeralsadat Fatemi, Hamid Asadzadeh Aghdaei, Mahsa Saeedi Niasar, Pardis Ketabi Moghadam, Ehsan Nazemalhosseini Mojarad, Enrico Mini, Stefania Nobili
Pubblicato in: Cancers, Numero 15, 2025, Pagina/e 2746, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15102746

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey

Autori: Antonio Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez-Sánchez
Pubblicato in: International Journal of Molecular Sciences, Numero 22/9, 2021, Pagina/e 4394, ISSN 1422-0067
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/ijms22094394

Circulating Tumor Cell Models Mimicking Metastasizing Cells In Vitro: Discrimination of Colorectal Cancer Cells and White Blood Cells Using Digital Holographic Cytometry

Autori: Marek Feith, Yuecheng Zhang, Jenny L. Persson, Jan Balvan, Zahra El-Schich, Anette Gjörloff Wingren
Pubblicato in: Photonics, 2022, ISSN 2304-6732
Editore: MDPI
DOI: 10.3390/photonics9120955

Effects of imipramine on cancer patients over-expressing Fascin1; description of the HITCLIF clinical trial

Autori: Antonio Asensi-Cantó, Edith Rodríguez-Braun, Asunción Beltrán-Videla, Ana María Hurtado, Pablo Conesa-Zamora
Pubblicato in: Frontiers in Oncology, Numero 13, 2024, ISSN 2234-943X
Editore: Frontiers Media S. A.
DOI: 10.3389/fonc.2023.1238464

WADDAICA: A webserver for aiding protein drug design by artificial intelligence and classical algorithm

Autori: Qifeng Bai, Jian Ma, Shuo Liu, Tingyang Xu, Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez, Yanan Tian, Junzhou Huang, Huanxiang Liu, Xiaojun Yao
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 19, 2024, Pagina/e 3573-3579, ISSN 2001-0370
Editore: Elsevier B.V.
DOI: 10.1016/j.csbj.2021.06.017

Clinical Utility of Plasma KRAS, NRAS and BRAF Mutational Analysis with Real Time PCR in Metastatic Colorectal Cancer Patients—The Importance of Tissue/Plasma Discordant Cases

Autori: Vincenzo Formica, Jessica Lucchetti, Elena Doldo, Silvia Riondino, Cristina Morelli, Renato Argirò, Nicola Renzi, Daniele Nitti, Antonella Nardecchia, Emanuela Dell’Aquila, Patrizia Ferroni, Fiorella Guadagni, Giampiero Palmieri, Augusto Orlandi, Mario Roselli
Pubblicato in: Journal of Clinical Medicine, Numero 10/1, 2021, Pagina/e 87, ISSN 2077-0383
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm10010087

K-RAS Associated Gene-Mutation-Based Algorithm for Prediction of Treatment Response of Patients with Subtypes of Breast Cancer and Especially Triple-Negative Cancer

Autori: Heather Johnson, Amjad Ali, Xuhui Zhang, Tianyan Wang, Athanasios Simoulis, Anette Gjörloff Wingren, Jenny L. Persson
Pubblicato in: Cancers, Numero 14, 2025, Pagina/e 5322, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14215322

Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI

Autori: Volovat SR, Augustin I, Zob D, Boboc D, Amurariti F, Volovat C, Stefanescu C, Stolniceanu SC, Ciocoiu M, Dumitras EA, Danciu M, Ciobanu Apostol DG, Drug V, Al Shurbaji S, Coca LG, Leon F, Iftene A, Herghelegiu PC.
Pubblicato in: Cancers, Numero 14(19):4834, 2022, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14194834

Polymerizable BODIPY probe crosslinker for the molecularly imprinted polymer-based detection of organic carboxylates <i>via</i> fluorescence

Autori: Yijuan Sun, Kornelia Gawlitza, Virginia Valderrey, Jérémy Bell, Knut Rurack
Pubblicato in: Materials Advances, Numero 5, 2024, Pagina/e 3783-3793, ISSN 2633-5409
Editore: Royal Society of Chemistry
DOI: 10.1039/d3ma00476g

Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis

Autori: Valentina Russo, Eleonora Lallo, Armelle Munnia, Miriana Spedicato, Luca Messerini, Romina D’Aurizio, Elia Giuseppe Ceroni, Giulia Brunelli, Antonio Galvano, Antonio Russo, Ida Landini, Stefania Nobili, Marcello Ceppi, Marco Bruzzone, Fabio Cianchi, Fabio Staderini, Mario Roselli, Silvia Riondino, Patrizia Ferroni, Fiorella Guadagni, Enrico Mini, Marco Peluso
Pubblicato in: Cancers, Numero 14, 2025, Pagina/e 4012, ISSN 2072-6694
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers14164012

Cell-autonomous IL6ST activation suppresses prostate cancer development via STAT3/ARF/p53-driven senescence and confers an immune-active tumor microenvironment

Autori: Christina Sternberg, Martin Raigel, Tanja Limberger, Karolína Trachtová, Michaela Schlederer, Desiree Lindner, Petra Kodajova, Jiaye Yang, Roman Ziegler, Jessica Kalla, Stefan Stoiber, Saptaswa Dey, Daniela Zwolanek, Heidi A. Neubauer, Monika Oberhuber, Torben Redmer, Václav Hejret, Boris Tichy, Martina Tomberger, Nora S. Harbusch, Jan Pencik, Simone Tangermann, Vojtech Bystry, Jenny L. Persson
Pubblicato in: Molecular Cancer, Numero 23, 2024, ISSN 1476-4598
Editore: BioMed Central
DOI: 10.1186/s12943-024-02114-8

Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission

Autori: Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante
Pubblicato in: Machine Learning and Knowledge Extraction, Numero 6, 2024, Pagina/e 1653-1666, ISSN 2504-4990
Editore: MDPI
DOI: 10.3390/make6030080

FcγRIIIa receptor interacts with androgen receptor and PIP5K1α to promote growth and metastasis of prostate cancer

Autori: Per Flodbring Larsson, Richard Karlsson, Martuza Sarwar, Regina Miftakhova, Tianyan Wang, Azharuddin Sajid Syed Khaja, Julius Semenas, Sa Chen, Andreas Hedblom, Amjad Ali, Kristina Ekström‐Holka, Athanasios Simoulis, Anjani Kumar, Anette Gjörloff Wingren, Brian Robinson, Sun Nyunt Wai, Nigel P. Mongan, David M. Heery, Daniel Öhlund, Thomas Grundström, Niels Ødum, Jenny L. Persson
Pubblicato in: Molecular Oncology, Numero 16, 2023, Pagina/e 2496-2517, ISSN 1574-7891
Editore: Elsevier BV
DOI: 10.1002/1878-0261.13166

Colorectal Cancer Cell Spheroids Co-Cultured with Molecularly Imprinted Fluorescent Particles Targeting Sialic Acid Show Preserved Cell Viability

Autori: Thomas Sjöberg, Zahra El-Schich, Knut Rurack, Anette Gjörloff Wingren
Pubblicato in: Applied Sciences, Numero 13, 2023, Pagina/e 5330, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app13095330

Learn Chemistry with Augmented Reality

Autori: Camelia Macariu, Adrian Iftene, Daniela Gîfu
Pubblicato in: Procedia Computer Science, Numero 176, 2020, Pagina/e 2133-2142, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2020.09.250

Prehospital Cerebrovascular Accident Detection using Artificial Intelligence Powered Mobile Devices

Autori: Cristian Simionescu, Madalina Insuratelu, Robert Herscovici
Pubblicato in: Procedia Computer Science, Numero 176, 2020, Pagina/e 2773-2782, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2020.09.279

Atrial Fibrillation Detection Based on Deep Learning Models

Autori: Iftene, A., Burlacu, A., Gîfu, D.
Pubblicato in: Proceedings of 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 7-9 September 2022, Verona, Italy, 2022, Pagina/e 3752--3760, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2022.09.436

Automatic Real-Time Road Crack Identification System

Autori: Lucia-Georgiana Coca, Ciprian-Gabriel Cusmuliuc, Vladut-Haralambie Morosanu, Teodora Grosu, Adrian Iftene
Pubblicato in: 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2022, Pagina/e 218-223
Editore: International Committee on Computational Linguistics
DOI: 10.1109/synasc51798.2020.00043

UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a

Autori: Ciprian-Gabriel Cusmuliuc, Lucia-Georgiana Coca, Adrian Iftene
Pubblicato in: Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2021, Pagina/e 609-613
Editore: International Committee for Computational Linguistics
DOI: 10.18653/v1/2020.semeval-1.77

Crack detection system in AWS Cloud using Convolutional neural networks

Autori: Georgiana-Lucia Coca, Ștefan-Cosmin Romanescu, Șerban-Mihai Botez, Adrian Iftene
Pubblicato in: Procedia Computer Science, Numero 176, 2020, Pagina/e 400-409, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2020.08.041

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