Cancer Long Survivors Artificial Intelligence Follow Up

Risultati finali

A separate document will be produced at the end of the project to summarize all the achievements and the work performed within the whole project duration The document will be extract of the Final Report including all the publishable information

Pubblicazioni

Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness

Autori: Ariam Rivas and Maria-Esther Vidal
Pubblicato in: 11th on Knowledge Capture Conference (K-CAP '21), 2021, Pagina/e 33–40
Editore: Association for Computing Machinery
DOI: 10.1145/3460210.3493560

Detecting Elevated Risk of Diminished Quality of Life Among Lung Cancer Patients by Using Wearable Devices

Autori: M. Torrente, F. Franco, A. Collazo Lorduy, V. Calvo, P. Martinez, C. Parejo, M. Campos, P. Alamaida-Pagan, B. Rodriguez-Morilla, M.A. Roz, J.A. Madrid, M.J. Martinez-Madrid, B. Cantos, C. Maximiano, M. Mendez, G. Visedo, S. Cristina, E. Menasalvas, P. Sousa, J. pIMENTAO, A. Morito, M. Provencio.
Pubblicato in: IASLC 2021 World Conference on Lung Cancer, 2021
Editore: IASLC 2021 World Conference on Lung Cancer

Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together

Autori: M. Torrente, F. Franco, V. Calvo, A. Collazo Lorduy, E. Menasalvas, M.E. Vidal, P. Sousa, J. pIMENTAO, V. Novacek, P. Minervini6, D. Fey, L. Costabello, M. Pocs, M. Provencio
Pubblicato in: IASLC 2021 World Conference on Lung Cancer, 2021
Editore: IASLC 2021 World Conference on Lung Cancer

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer

Autori: Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pasquale Minervini, Pontus Stenetorp, Vít Novácek
Pubblicato in: AMIA 2021 Annual Symposium, 2021
Editore: AMIA 2021 Annual Symposium

Deep learning to extract Breast Cancer diagnosis concepts

Autori: O. Solarte-Pabón, M. Torrente, A. Garcia-Barragán, M. Provencio, E. Menasalvas and V. Robles
Pubblicato in: 2022 IEEE 35th International Symposium on Computer-Based Medical Systems, Numero 2, 2022
Editore: International Symposium on Computer-Based Medical Systems
DOI: 10.1109/CBMS55023.2022.00010

Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient

Autori: Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartmeu Massutí, M.Rosario Garcia Campelo, Edel del barco, Joaquim Bosch-Barrera, Vít Nováček
Pubblicato in: IJCNN, 2023
Editore: IJCNN
DOI: 10.1109/ijcnn54540.2023.10191078

Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer

Autori: Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodrıguez Abreu, Manuel Cobo, Rafael López Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Nováček
Pubblicato in: Journal of Biomedical Informatics, 2023
Editore: Journal of Biomedical Informatics
DOI: 10.1016/j.jbi.2023.104424

Status of the circadian system and sleep in woman with metastasized breast cancer under chemotherapy or hormone/antibody treatment.

Autori: P.F. Almaida-Pagan, B. Rodriguez-Morilla, M.J. Martinez Madrid, M. Torrente, B Cantos, M. Blanco, B. Nuñez, M. Mendez, P.A. Sousa, J.C. Sanchez, M. Provencio, J.A. Madrid, M. Rol de Lama, M. Campos
Pubblicato in: eSleep Europe Virtual Congress 2023 of the European Sleep Research Society, 2023
Editore: eSleep Europe Virtual Congress 2023 of the European Sleep Research Society

A Neuro-Symbolic System over Knowledge Graphs for Link Prediction

Autori: Ariam Rivas, Diego Collarana, Maria Torrente, Maria-Esther Vidal
Pubblicato in: Semantic Web Journal, 2023
Editore: Semantic Web Journal
DOI: 10.3233/sw-233324

Circadian system status and sleep in women with localized breast cancer during treatment vs. long survivors.

Autori: B. Rodríguez-Morilla, P.F. Almaida-Pagan, M.J. Martínez-Madrid, M. Torrente, B Cantos, M Blanco, B Nuñez, P. Sousa, M Provencio, J.A. Madrid, M.A. Rol, M. Campos
Pubblicato in: eSleep Europe Virtual Congress 2023 of the European Sleep Research Society, 2023
Editore: eSleep Europe Virtual Congress 2023 of the European Sleep Research Society

Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach

Autori: Solarte Pabón O, Montenegro O, Torrente M, Rodríguez González A, Provencio M, Menasalvas E.
Pubblicato in: PeerJ Comput Sci, 2022
Editore: PeerJ Comput Sci
DOI: 10.7717/peerj-cs.913

Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients

Autori: Timilsina M, Buosi S, Fey D, Janik A, Torrente M, Provencio M, Bermu Dez AC, Carcereny E, Costabello L, Abreu DRI, Cobo M, Castro RLP, Bernabe R, Guirado DM, Minervini P, Nova Cˇek VI
Pubblicato in: AMIA Annu Symp Proc. 2022, 2022
Editore: AMIA

Machine Learning-Assisted Recurrence Prediction for Patients With Early-Stage Non-Small-Cell Lung Cancer

Autori: Janik, A., Torrente, M., Costabello, L., Calvo, V., Walsh, B., Camps, C., Mohamed, S. K., Ortega, A. L., Nováček, V., Massutí, B., Minervini, P., Campelo, M. R. G., Del Barco, E., Bosch-Barrera, J., Menasalvas, E., Timilsina, M., & Provencio, M.
Pubblicato in: JCO clinical cancer informatics, 2023
Editore: JCO clinical cancer informatics
DOI: 10.1200/cci.22.00062

Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients

Autori: Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
Pubblicato in: AMIA 2022, 2022
Editore: AMIA 2022
DOI: 10.48550/arxiv.2211.09856

Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings

Autori: Buosi, Samuele, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, and Vit Novacek
Pubblicato in: Expert Systems and Applications, 2023
Editore: Expert Systems and Applications
DOI: 10.1016/j.eswa.2023.121127

An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study

Autori: Torrente M, Sousa PA, Hernández R, Blanco M, Calvo V, Collazo A, Guerreiro GR, Núñez B, Pimentao J, Sánchez JC, Campos M, Costabello L, Novacek V, Menasalvas E, Vidal ME, Provencio M.
Pubblicato in: Cancers, 2022
Editore: Cancers
DOI: 10.3390/cancers14164041

Seroprevalence and immunological memory against SARS-CoV-2 in lung cancer patients: the SOLID study

Autori: Provencio M, Rodríguez-Abreu D, Ortega AL, Serrano G, Aguado C, Franco F, Gutierrez V, López Vivanco G, Guirado M, Benítez G, Estival A, Calvo V, Jiménez B, Arasanz H, Coves J, Majem M, Massutí B, Vázquez S, Juan-Vidal O, Collazo-Lorduy A, Gozálvez CL, Del Barco E, Rosero A, Bosch-Barrerra J, Moreno MA, Mielgo-Rubio X, Villa JC, López-Martin A, Córdoba JF, de Asís Aparisi F, Zafra M, Mos
Pubblicato in: Transl Lung Cancer Res, 2022
Editore: Transl Lung Cancer Res
DOI: 10.21037/tlcr-21-504

ASSOCIATION OF QUALITY OF LIFE WITH PERFORMANCE STATUS, CIRCADIAN RHYTHM, AND ACTIVITY LEVEL OF LUNG CANCER PATIENTS USING WEARABLE DEVICES AS AMBULATORY MONITORING

Autori: Maria Torrente, Pedro A., Sousa, Fabio Franco, Ernestina Mensalvas, Virginia Calvo, Ana Collazo, Consuelo Parejo, Manuel Campos, Joao Pimentao, Mariano Provencio
Pubblicato in: Royal College of Physicians Annual Conference Medicine 2022, 2022
Editore: Royal College of Physicians

Neural Concept Formation in Knowledge Graphs

Autori: Agnieszka Dobrowolska, Antonio Vergari, Pasquale Minervini
Pubblicato in: AKBC 2021, 2021
Editore: AKBC 2021

Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning

Autori: A. García-Barragán, O. Solarte-Pabón, G. Nedostup, M. Provencio, E. Menasalvas and V. Robles
Pubblicato in: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, 2023
Editore: International Symposium on Computer-Based Medical Systems
DOI: 10.1109/cbms58004.2023.00252

Knowledge Graphs for Enhancing Transparency in Health Data Ecosystems

Autori: Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodriguez Gonzalez, Guillermo Vigueras, Daniel Gomez-Bravo, Maria Torrente, Roberto Lopez, Mariano Provencio Pulla, Athanasios Dalianis, Ana Triantafillou, Georgios Paliouras, Maria-Esther Vidal
Pubblicato in: Semantic Web Journal, 2023
Editore: Semantic Web Journal
DOI: 10.3233/sw-223294

Clinical factors influencing long-term survival in a real-life cohort of early stage non-small-cell lung cancer patients in Spain

Autori: Torrente, Maria; Sousa, Pedro A.; Guerreiro, Gracinda R.; Franco, Fabio; Hernández, Roberto; Parejo, Consuelo; Sousa, Alexandre; Campo-Cañaveral, José Luis; Pimentão, João; Provencio, Mariano
Pubblicato in: Frontiers in oncology, Numero 4, 2023
Editore: Frontiers in oncology
DOI: 10.3389/fonc.2023.1074337

Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach

Autori: O. Solarte-Pabón, A. Blazquez-Herranz, M. Torrente, A. Rodríguez-Gonzalez, M. Provencio and E. Menasalvas
Pubblicato in: 2021 IEEE 8th International Conference on Data Science and Advanced Analytics, 2021
Editore: 2021 IEEE 8th International Conference on Data Science and Advanced Analytics
DOI: 10.1109/dsaa53316.2021.9564137

Cost-effectiveness of diagnostic tests during follow-up in lung cancer patients: an evidence-based study

Autori: Fernando Rodríguez-Cano, Virginia Calvo, Yago Garitaonaindía, José Luis Campo-Cañaveral, Mariola Blanco, María Torrente, Mariano Provencio
Pubblicato in: 2023
Editore: Translational Lung Cancer Research
DOI: 10.21037/tlcr-22-540

Chronodisruption and Ambulatory Circadian Monitoring in Cancer Patients: Beyond the Body Clock

Autori: Pedro F. Almaida-Pagan; María Torrente; Manuel Campos; Mariano Provencio; Juan Antonio Madrid; Fabio Franco; Beatriz Rodríguez Morilla; Blanca Cantos; Pedro A. Sousa; María José Martínez Madrid; Joao Pimentao; María Ángeles Rol
Pubblicato in: Current Oncology Reports, 2022
Editore: Current Oncology Reports
DOI: 10.1007/s11912-021-01158-z

Transformers for extracting breast cancer information from Spanish clinical narratives.

Autori: Solarte-Pabón, O., Montenegro, O., García-Barragán, A., Torrente, M., Provencio, M., Menasalvas, E., & Robles, V.
Pubblicato in: Artificial Intelligence in Medicine, 2023
Editore: Artificial Intelligence in Medicine
DOI: 10.1016/j.artmed.2023.102625

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

Autori: Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal
Pubblicato in: Journal of Web Semantics, 2022
Editore: Journal of Web Semantics
DOI: 10.1016/j.websem.2022.100755

Sexual dysfunction in patients with cancer: Results from the CLARIFY project

Autori: Aylen Vanessa Ospina Serrano, Constanza Maximiano, Blanca Cantos Sanchez de Ibarguren, Maria Torrente, Miriam Mendez, Juan Cristobal Sanchez, Virginia Calvo, Ana Collazo Lorduy, Mariola Blanco, Beatriz Nuñez García, Ivan Triana, Consuelo Parejo, Paula Martinez, Narjust Florez, and Mariano Provencio-Pulla
Pubblicato in: Journal of Clinical Oncology 2023, 2023
Editore: Journal of Clinical Oncology
DOI: 10.1200/jco.2023.41.16_suppl.12094

Lung cancer patients with COVID-19 in Spain: GRAVID study

Autori: Mariano Provencio, José María Mazarico Gallego, Antonio Calles, Mónica Antoñanzas, Cristina Pangua, Xabier Mielgo Rubio, Ernest Nadal, Rafael López Castro, Ana López-Martín, Edel del Barco, Manuel Dómine, Fernando Franco, Pilar Diz, Carmen Sandoval, Elia Sais Girona, Ivana Sullivan, Mª Ángeles Sala, Gema García Ledo, Marc Cucurull, Joaquín Mosquera, Mireia Martínez, Luis Enrique Chara
Pubblicato in: Lung Cancer, Numero 157, 2021, Pagina/e 109-115, ISSN 0169-5002
Editore: Elsevier BV
DOI: 10.1016/j.lungcan.2021.05.014

Determination of essential biomarkers in lung cancer: a real-world data study in Spain with demographic, clinical, epidemiological and pathological characteristics

Autori: Provencio M, Cobo M, Rodriguez-Abreu D, Calvo V, Carcereny E, Cantero A, Bernabé R, Benitez G, Castro RL, Massutí B, Del Barco E, García Campelo R, Guirado M, Camps C, Ortega AL, González Larriba JL, Sánchez A, Casal J, Sala MA, Juan-Vidal O, Bosch-Barrera J, Oramas J, Dómine M, Trigo JM, Blanco R, Calzas J, Morilla I, Padilla A, Pimentao J, Sousa PA, Torrente M.
Pubblicato in: BMC Cancer, Numero 14712407, 2022, ISSN 1471-2407
Editore: BioMed Central
DOI: 10.1186/s12885-022-09830-8

Multicenter Study of the Seroprevalence of Antibodies against Covid-19 in Patients with Lymphoma: An Analysis of the Oncological Group for the Treatment and Study of Lymphomas (Gotel)

Autori: Fernando Franco, María Guirado, Natividad Martínez-Banaclocha, Josep Gumà, Javier Lavernia, José Gómez-Codina, Delvys Rodriguez-Abreu, Fani Martínez, Enrique Barrajón, Miriam Méndez, Virginia Calvo, Mariano Provencio
Pubblicato in: Current Oncology, Numero 28/2, 2021, Pagina/e 1249-1255, ISSN 1718-7729
Editore: Current Oncology
DOI: 10.3390/curroncol28020118

1730P Cancer long survivor artificial intelligence follow-up (CLARIFY): Family history of cancer and lung cancer

Autori: V. Calvo, E. Niazmand, E. Carcereny, S. Jozashoori, D. Rodriguez, R. Lopez Castro, M. Guirado, C.J. Camps, R. Bernabe Caro, A.L. Ortega Granados, B. Massuti Sureda, M.A. Cobo Dols, M.R. Garcia Campelo, E. del Barco, J. Bosch-Barrera, J.L. Gonzalez-Larriba, T. Moran, A. Collazo, M.E. Vidal, M. Provencio
Pubblicato in: Annals of Oncology, Numero 09237534, 2021, Pagina/e Pages S1198-S1199, ISSN 0923-7534
Editore: Oxford University Press
DOI: 10.1016/j.annonc.2021.08.1974

To burn-out or not to burn-out: a cross-sectional study in healthcare professionals in Spain during COVID-19 pandemic

Autori: Maria Torrente, Pedro AC Sousa, Ana Sánchez-Ramos, Joao Pimentao, Ana Royuela, Fabio Franco, Ana Collazo-Lorduy, Ernestina Menasalvas, Mariano Provencio
Pubblicato in: BMJ Open, Numero 11/2, 2021, Pagina/e e044945, ISSN 2044-6055
Editore: BMJ Publishing Group
DOI: 10.1136/bmjopen-2020-044945

Cancer and SARS-CoV-2 Infection: A Third-Level Hospital Experience

Autori: Virginia Calvo, Ana Fernandez-Cruz, Beatriz Nuñez, Mariola Blanco, Ana Morito, Marta Martínez, Cristina Traseira, Yago Garitaonaindía, Ramon Aguado, Arturo Ramos, Ana Royuela, Fernando Fabio Franco, Mariano Provencio
Pubblicato in: Clinical Epidemiology, Numero Volume 13, 2021, Pagina/e 317-324, ISSN 1179-1349
Editore: Dove Medical Press Ltd
DOI: 10.2147/clep.s308437

Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes

Autori: Oswaldo Solarte Pabón, Maria Torrente, Mariano Provencio, Alejandro Rodríguez-Gonzalez, Ernestina Menasalvas
Pubblicato in: Applied Sciences, Numero 11/2, 2021, Pagina/e 865, ISSN 2076-3417
Editore: Applied Sciences
DOI: 10.3390/app11020865

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