Publications

LIST OF PUBLISHED MATERIAL
Open Access Articles
Title of the publicationDate of the publicationAuthors and Topic of the publicationJournals and/or open access platforms Target audienceLinkRevert partner
Principles of Molecular Utility for CMS Classification in Colorectal Cancer Management2023Rejali L, Asl RS, Sanjabi F, Fatemi N, Aghdaei HA, Niasar MS, Moghadam PK, Mojarad EN, Mini E, Nobili S. Cancers 2023, 15(10), 2746large publicREVERT project acknowledgement, https://www.mdpi.com/2072-6694/15/10/2746UNIFI
Circulating tumor cell models mimicking metastasizing cells in vitro: discrimination of colorectal cancer cells and white blood cells using digital holographic cytometry07/12/2022Feith M, Zhang Y, Persson JL, Balvan J, El-Schich Z, Wingren AG


Experimental discrimination of circulating CRC cells and blood cells using digital holographic microscopy

Photonics 2022, 9, 955.
large publicREVERT project acknowledgement,
https://www.mdpi.com/2304-6732/9/12/955		Malmö University
Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation24/05/2022Morelli C, Rofei M, Riondino S, Fraboni D, Torino F, Orlandi A, Tesauro M, Del Vecchio Blanco G, Federici M, Arkenau H-T, Formica V, Roselli M.

Colorectal cancer		Cancers 2022, 14, 2594large publicREVERT project acknowledgement,
https://www.mdpi.com/2072-6694/14/11/2594		Unitov
Gene-Mutation-Based Algorithm for Prediction of Treatment Response in Colorectal Cancer Patients18/04/2022Johnson, Heather; El-Schich, Zahra; Amjad, Ali; Zhang Xuhui; Simoulis Anthanasios; Gjörloff Wingren Anette and Persson Jenny L.

Gene-mutation-based algorithms as a biomarker classifier to predict treatment response with better precision than the current predictive factors.		International Journal of Molecular Scienceslarge publicREVERT project acknowledgement, https://www.mdpi.com/2072-6694/14/8/2045

Doi:
10.3390/cancers14082045 		UMEA University
Thiourea- and Amino-Substituted Benzoxadiazole Dyes with Large Stokes Shifts as Red-Emitting Probe Monomers for Imprinted Polymer Layers Targeting Carboxylate Containing Antibiotics15/03/2022Valderrey V., Gawlitza K., Rurack K.

Molecular imprinting		Chemistry—A European Journallarge publicREVERT project acknowledgement,
https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/chem.202104525		Chemical and Optical Sensing Division Bundesanstalt für Materialforschung und -prüfung (BAM)
Red-Emitting Polymerizable Guanidinium Dyes as Fluorescent Probes in Molecularly Imprinted Polymers for03/03/2022Kimani M, Pérez-Padilla V, Valderrey V, Gawlitza K, Rurack K.

Molecular imprinting		Chemosensors 2022, 10, 99.large publicREVERT project acknowledgement,
https://doi.org/10.3390/chemosensors10030099		Chemical and Optical Sensing Division Bundesanstalt für Materialforschung und -prüfung (BAM)
Role of Non-Coding RNAs in Colorectal Cancer: Focus on Long Non-Coding RNAs2022Lulli M, Napoli C, Landini I, Mini E, Lapucci A.Int J Mol Sci. 2022 Nov 3large publichttps://www.mdpi.com/1422-0067/23/21/13431UNIFI
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-Analysis2022Russo V, Lallo E, Munnia A, Spedicato M, Messerini L, D'Aurizio R, Ceroni EG, Brunelli G, Galvano A, Russo A, Landini I, Nobili S, Ceppi M, Bruzzone M, Cianchi F, Staderini F, Roselli M, Riondino S, Ferroni P, Guadagni F, Mini E, Peluso M.Cancers (Basel). 2022 Aug 19;14(16):4012large publichttps://www.mdpi.com/2072-6694/14/16/4012ISPRO, UNIPA, UNITOV e SAN RAFFAELE
Crack detection system in AWS Cloud using Convolutional neural networks16-18/09/2020Coca, G.L., Romanescu, S.C., Botez, S.M., Iftene, A. 2020. Crack detection system in AWS Cloud using Convolutional neural networks. In 24rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 16-18 September. Procedia Computer Science, vol. 176, pp. 400-409.Procedia Computer Science - Journal - Elsevierlarge publicREVERT project acknowledgement,
https://www.sciencedirect.com/science/article/pii/S1877050920318652

doi.org/10.01016/j.procs.2020.08.041		IMAGO MOL
Learn Chemistry with Augmented Reality. In 24rd International Conference on Knowledge-Based and Intellligent Information & Engineering Systems 16-18/09/2020Macariu, C., Iftene, A., Gîfu, D. 2020. Learn Chemistry with Augmented Reality. In 24rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 16-18 September. Procedia Computer Science, vol. 176, pp. 2133-2142.


The purpose of this research is to demonstrate how effective these AR applications are, even that in Romania they are still in a pioneering phase.		Procedia Computer Science - Journal - Elsevierlarge publicREVERT project acknowledgement,
https://www.sciencedirect.com/science/article/pii/S1877050920321542

doi.org/10.1016/j.procs.2020.09.250		IMAGO MOL
Prehospital Cerebrovascular Accident Detection using Artificial Intelligence Powered Mobile Devices04/12/2020Cristian Simionescu, Madalina Insuratelu, Robert Herscovici. (2020) Prehospital Cerebrovascular Accident Detection using Artificial Intelligence Powered Mobile Devices, Procedia Computer Science, Volume 176, 2020, Pages 2773-2782, ISSN 1877-0509,

This paper introduces Stroke Help, a mobile application utilizing various mobile technologies together with Artificial Intelligence algorithms in order to quickly detect CVA in either the user or someone the user is concerned about.		Procedia Computer Science - Journal - Elsevierlarge publicREVERT project acknowledgement,
https://www.sciencedirect.com/science/article/pii/S1877050920321839

http://doi.org/10.1016/j.procs.2020.09.279.		IMAGO MOL
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 Cases29/12/2020Formica V., Lucchetti J., Doldo E., Riondino S., Morelli C., Argirò R., Renzi N., Nitti D., Nardecchia A., Dell'Aquila E., Ferroni P., Guadagni F., Palmieri G., Orlandi A., Roselli M.:

In this prospective study, the clinical utility of PL liquid biopsy for KRAS, NRAS and BRAF mutation testing in mCRC using qualitative Real Time PCR (Easy PGX) was assessed in consecutive patients with known T mutational status prior to starting a standard first-line chemotherapy.
T and PL mutation profile was compared and was evaluated whether liquid biopsy might be useful to further stratify mCRC patient prognosis and treatment response. 		Journal of Clinical Medicine (JCM) – MDPI
Gold open access		large publicREVERT project acknowledgement,
https://www.mdpi.com/2077-0383/10/1/87/htm

Doi: 10.3390/jcm10010087
Unitov, San Raffaele
Open Access Reviews
Title of the publicationDate of the publicationAuthors and Topic of the publicationJournals and/or open access platforms Target audienceLinkRevert partner
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey22/04/2021Banegas-Luna, A.J., Pena-Garcia, J., Iftene, A., Guadagni, F., Ferroni, P., Scarpato, N., Zanzotto, F.M., Bueno-Crespo, A., Perez-Sanchez, H. 2020.

In this survey, current machine learning models, frameworks, databases and other related tools as applied to medicine - specifically, to cancer research - are analised and related interpretability, performance and the necessary input data are discussed.		Int. J. Mol. Sci. (International Journal of Molecular Sciences) large publicREVERT project acknowledgement,
https://www.mdpi.com/1422-0067/22/9/4394

Doi: 10.3390/ijms22094394		UNITOV/San Raffaele
Conference Papers
Title of the publicationDate of the publicationAuthors and Topic of the publicationJournals and/or open access platforms Target audienceLinkRevert partner
Automatic Real-Time Road Crack Identification System. In 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)1-4/09/2020Coca, L. G., Cușmuliuc, C. G., Morosanu, V.H., Grosu, T., Iftene, A. 2020.

In this paper are presented methods, experiments and results for detecting cracks on surfaces like streets and sidewalks.
IEEE COMP SOC
2020 22ND INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC 2020)
Book Series: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing		large publicREVERT project acknowledgement,
https://ieeexplore.ieee.org/document/9357098

Doi: 10.1109/SYNASC51798.2020.00043
IMAGO-MOL
Special Issues
Title of the publicationDate of the publicationAuthors and Topic of the publicationJournals and/or open access platforms Target audienceLinkRevert partner
Special Issue "From Biobanking to Artificial Intelligence for Personalized Medicine of Cancer Therapy"NAFrom Biobanking to Artificial Intelligence for Personalized Medicine of Cancer TherapyCancer Informatics and Big Data.large publicREVERT project acknowledgement,
https://www.mdpi.com/si/cancers/Biobanking_Artificial_Intelligence_Cancer		San Raffaele
Books
Title of the publicationDate of the publicationAuthors and Topic of the publicationJournals and/or open access platforms Target audienceLinkRevert partner
Chapter 10 - Predictive “omic” biomarkers of drug response: Colorectal cancer as a model - in Antiangiogenic Drugs as Chemosensitizers in Cancer Therapy2021Mini E, Landini I, Di Paolo A, Ravegnini G, Saponara S, Frosini M, Lapucci A, Nobili S.Volume 18 in Cancer Sensitizing Agents for Chemotherapy, L Morbidelli Ed., Academic Press 2022, pp: 199-240large publichttps://doi.org/10.1016/B978-0-323-90190-1.00002-0UNIFI