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 Marta Lovino

Marta Lovino

Position at AImageLab:

Postdoctoral Fellow
Dipartimento di Ingegneria "Enzo Ferrari"

Email:

marta_DOT_lovino_AT_unimore_DOT_it

Marta Lovino

Marta Lovino is a Postdoctoral Research Fellow at the AImage lab group, having joined in 2022. She obtained her Ph.D. in Computer and Control Engineering with honors from Politecnico di Torino in 2021, after completing a B.Sc. and M.Sc. in Biomedical Engineering at the same university in 2015 and 2017, respectively. Throughout her Ph.D. studies, Marta focused on developing software tools and pipelines for analyzing genomics and proteomics data. In 2020, she also had the opportunity to work as a visiting researcher at the Institute Curie Center in Paris, specifically in the Signaling in Development and brain tumors lab, for a duration of six months.

Marta's research interests primarily revolve around cancer prognosis prediction, gene expression analysis, miRNA target prediction, gene regulatory networks, gene fusions, and multi-omics data integration. She is particularly enthusiastic about leveraging artificial intelligence (AI) in the field of genetics to improve our understanding of cancer biology and enhance patient care.

Marta aims to advance knowledge in her field and apply her expertise to address critical challenges in cancer research. Her interdisciplinary background in computer engineering and biomedical engineering equips her with a unique skill set to bridge the gap between data analysis techniques and biological insights. With a strong focus on genomics and proteomics analysis, Marta strives to uncover new biomarkers, decipher molecular mechanisms underlying cancer development, and develop innovative approaches for personalized medicine.

 


Research Projects


Research Activities


Publications

1 Bontempo, Gianpaolo; Bartolini, Nicola; Lovino, Marta; Bolelli, Federico; Anni, Virtanen; Ficarra, Elisa "Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach" ICIAP 2023: Image Analysis and Processing, Udine, Italy, pp. 1 -12 , Sep 11-15, 2023 Conference
2 Stefanini, Matteo; Lovino, Marta; Cucchiara, Rita; Ficarra, Elisa "Predicting gene and protein expression levels from DNA and protein sequences with Perceiver" COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 234, pp. 107504 -107514 , 2023 | DOI: 10.1016/j.cmpb.2023.107504 Journal
3 Citarrella, Francesca; Bontempo, Gianpaolo; Lovino, Marta; Ficarra, Elisa "FusionFlow: an integrated system workflow for gene fusion detection in genomic samples" European Conference on Advances in Databases and Information Systems, Torino, 2022, 2022 Conference
4 Pipoli, Vittorio; Cappelli, Mattia; Palladini, Alessandro; Peluso, Carlo; Lovino, Marta; Ficarra, Elisa "Predicting gene expression levels from DNA sequences and post-transcriptional information with transformers" COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 225, pp. 107035 -107044 , 2022 | DOI: 10.1016/j.cmpb.2022.107035 Journal
5 Citarrella, F.; Bontempo, G.; Lovino, M.; Ficarra, E. "FusionFlow: An Integrated System Workflow for Gene Fusion Detection in Genomic Samples" Communications in Computer and Information Science, vol. 1652 CCIS, pp. 79 -88 , 2022 | DOI: 10.1007/978-3-031-15743-1_8 Chapter in Book
6 Borgato, S.; Bottino, M.; Lovino, M.; Ficarra, E. "SARS-CoV-2 variants classification and characterization" EPiC Series in Computing, vol. 83, n/a, pp. 66 -75 , 2022, 2022 Conference
7 Lovino, M.; Montemurro, M.; Barrese, V. S.; Ficarra, E. "Identifying the oncogenic potential of gene fusions exploiting miRNAs" JOURNAL OF BIOMEDICAL INFORMATICS, vol. 129, pp. 104057 -N/A , 2022 | DOI: 10.1016/j.jbi.2022.104057 Journal
8 Lovino, Marta; Randazzo, Vincenzo; Ciravegna, Gabriele; Barbiero, Pietro; Ficarra, Elisa; Cirrincione, Giansalvo "A survey on data integration for multi-omics sample clustering" NEUROCOMPUTING, vol. 488, pp. 494 -508 , 2022 | DOI: 10.1016/j.neucom.2021.11.094 Journal
9 Rickert, Daniel; Bartl, Jasmin; Picard, Daniel; Bernardi, Flavia; Qin, Nan; Lovino, Marta; Puget, St├ęphanie; Meyer, Frauke-Dorothee; Mahoungou Koumba, Idriss; Beez, Thomas; Varlet, Pascale; Dufour, Christelle; Fischer, Ute; Borkhardt, Arndt; Reifenberger, Guido; Ayrault, Olivier; Remke, Marc "Circular RNA profiling distinguishes medulloblastoma groups and shows aberrant RMST overexpression in WNT medulloblastoma" ACTA NEUROPATHOLOGICA, vol. 141, pp. 975 -978 , 2021 | DOI: 10.1007/s00401-021-02306-2 Journal
10 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa "Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models" Intelligent Computing Theories and Application, vol. 12464 LNCS, Bari (Online), pp. 32 -42 , October,2020, 2020 | DOI: 10.1007/978-3-030-60802-6_4 Conference
11 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo "Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network" LNCS, vol. 12463, Bari (ita), pp. 172 -182 , Ottobre 2020, 2020 | DOI: 10.1007/978-3-030-60799-9_15 Conference
12 Lovino, Marta; Gianvito, Urgese; Enrico, Macii; Santa Di Cataldo, ; Ficarra, Elisa "Predicting the oncogenic potential of gene fusions using convolutional neural networks" Computational Intelligence Methods for Bioinformatics and Biostatistics, vol. 11925, Caparica, pp. 277 -284 , 6 - 8 September 2018, 2020 | DOI: 10.1007/978-3-030-34585-3_24 Conference
13 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa "Multi-omics classification on kidney samples exploiting uncertainty-aware models" LNCS, vol. LNCS, Bari (Online), pp. 32 -42 , Oct 10-11th 2020, 2020 | DOI: 10.1007/978-3-030-60802-6_4 Conference
14 Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa "DEEPrior: a deep learning tool for the prioritization of gene fusions" BIOINFORMATICS, vol. 36, pp. 3248 -3250 , 2020 | DOI: 10.1093/bioinformatics/btaa069 Journal
15 Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito "Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions" INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 20, pp. N/A -N/A , 2019 | DOI: 10.3390/ijms20082035 Journal
16 Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa "A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans" INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, vol. 20, pp. 1 -13 , 2019 | DOI: 10.3390/ijms20071645 Journal