Resources

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)
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

Current Oncology2021 Mar 16;28(2):1249-1255.

Neoadjuvant chemotherapy and nivolumab in resectable non-small-cell lung cancer (NADIM): an open-label, multicentre, single-arm, phase 2 trial
Mariano Provencio, Ernest Nadal, Amelia Insa, María Rosario García-Campelo, Joaquín Casal-Rubio, Manuel Dómine, Margarita Majem, Delvys Rodríguez-Abreu, Alex Martínez-Martí, Javier De Castro Carpeño, Manuel Cobo, Guillermo López Vivanco, Edel Del Barco, Reyes Bernabé Caro, Nuria Viñolas, Isidoro Barneto Aranda, Santiago Viteri, Eva Pereira, Ana Royuela, Marta Casarrubios, Clara Salas Antón, Edwin R Parra, Ignacio Wistuba, Virginia Calvo, Raquel Laza-Briviesca, Atocha Romero, Bartomeu Massuti, Alberto Cruz-Bermúdez

The Lancet Oncology, volume 21, issue 11, P1413-1422, november 01, 2020

Predicting Polypharmacy Side-effects Using Knowledge Graph Embeddings
Nováček, Vít, and Sameh K Mohamed

AMIA Joint Summits on Translational Science vol. 2020

Predicting Polypharmacy Side-effects Using Knowledge Graph Embeddings
Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pasquale Minervini, Pontus Stenetorp, Vít Novácek

AMIA 2021 Annual Symposium

TMB and selected mutations in resectable stage IIIA NSCLC patients receiving neo-adjuvant chemo-immunotherapy from NADIM trial
Alberto Cruz-Bermúdez
2020 World Conference on Lung Cancer Singapore

https://wclc2020.iaslc.org/

Overall survival for early and locally advanced non-small-cell lung cancer from one institution: 2000–2017
M. González, V. Calvo, I. Redondo, M. Provencio
Clinical and Translational Oncology volume 23, pages1325–1333 (2021)

10.1007/s12094-020-02521-5
https://pubmed.ncbi.nlm.nih.gov/33528811/
https://dialnet.unirioja.es/servlet/articulo?codigo=7983748

Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes
Oswaldo Solarte Pabón, Maria Torrente, Mariano Provencio, Alejandro Rodríguez-Gonzalez, Ernestina Menasalvas

10.3390/app11020865
https://www.mdpi.com/2076-3417/11/2/865

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

https://wclc2021.iaslc.org/

Molecular insight into NADIM clinical trial: Potential immune biomarkers of pathological response for NSCLC patients
Raquel Laza-Briviesca

https://wclc2020.iaslc.org/

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

COMPLEX QUERY ANSWERING WITH NEURAL LINK PREDICTORS
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez

https://openreview.net/pdf?id=Mos9F9kDwkz/

Accurate prediction of kinase-substrate networks using knowledge graphs
Vít Nováček, Gavin McGauran, David Matallanas, Adrián Vallejo Blanco, Piero Conca, Emir Muñoz, Luca Costabello, Kamalesh Kanakaraj, Zeeshan Nawaz, Brian Walsh, Sameh K. Mohamed, Pierre-Yves Vandenbussche, Colm J. Ryan, Walter Kolch, Dirk Fey

https://pubmed.ncbi.nlm.nih.gov/33270624/
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007578

Knowledge-driven Data Ecosystems Towards Data Transparency
Sandra Geisler, Maria-Esther Vidal, Cinzia Cappiello, Bernadette Farias Lóscio, Avigdor Gal, Matthias Jarke, Maurizio Lenzerini, Paolo Missier, Boris Otto, Elda Paja, Barbara Pernici, and Jakob Rehof.

https://arxiv.org/abs/2105.09312#:~:text=Knowledge%2Ddriven%20Data%20Ecosystems%20Towards%20Data%20Transparency,-Sandra%20Geisler%2C%20Maria&text=Requirements%20are%20derived%20from%20the,for%20satisfying%20the%20analyzed%20requirements

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

https://wclc2021.iaslc.org

To burn-out or not to burn-out: a cross-sectional study in healthcare professionals in Spain during COVID-19 pandemic
Maria Torrente, Pedro AC Sousa, Ana Sánchez-Ramos, Joao Pimentao, Ana Royuela, Fabio Franco, Ana Collazo-Lorduy, Ernestina Menasalvas, Mariano Provencio

https://pubmed.ncbi.nlm.nih.gov/33627353
https://bmjopen.bmj.com/content/11/2/e044945

Assessment of elevated risk of diminished quality of life in lung cancer patients with wearable devices and QoL questionnaires
María Torrente, Fabio Franco, Ana Collazo, Virginia Calvo, Paula Martínez, Consuelo Parejo, Manuel Campos, Pedro F. Almaida-Pagan, Beatriz Rodriguez-Morilla, María Ángeles Rol, Juan Antonio Madrid, Maria Jose Martinez-Madrid, Guillermo Visedo, Ana Morito, Cristina González, Pedro A. Sousa, Joao Pimentao, Mariano Provencio

ASSOCIATION OF QUALITY OF LIFE WITH PERFORMANCE STATUS, CIRCADIAN RHYTHM, AND ACTIVITY LEVEL OF LUNG CANCER PATIENTS USING WEARABLE DEVICES AS AMBULATORY MONITORING
Maria Torrente, Pedro A., Sousa, Fabio Franco, Ernestina Mensalvas, Virginia Calvo, Ana Collazo, Consuelo Parejo, Manuel Campos, Joao Pimentao, Mariano Provencio Royal College of Physicians Annual Conference Medicine 2022

https://pubmed.ncbi.nlm.nih.gov/36220256/

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

10.1016/j.annonc.2021.08.1974

TRANSFORMING HEALTHCARE IN ONCOLOGY WITH ARTIFICIAL INTELLIGENCE
María Torrente1, Fabio Franco1, Blanca Cantos1, Consuelo Parejo1, Ernestina Menasalvas2, Pedro Sousa3, João Pimentão3, Mariano Provencio1

Understanding Prognosis and Long-Term Survival in a Real-Life Cohort of Patients with Early Stage Non-Small-Cell Lung Cancer
Torrente, Maria & Sousa, Pedro & Guerreiro, Gracinda & Franco, Fabio & Hernández, Roberto & Parejo, Consuelo & Sousa, Alexandre & Campo-Cañavera, José & Pimentao, Joao & Provencio, Mariano

10.2139/ssrn.4106759
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4106759

EABlock: a declarative entity alignment block for knowledge graph creation pipelines
Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, and Maria-Esther Vidal
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22)

10.1145/3477314.3507132
https://dl.acm.org/doi/10.1145/3477314.3507132

Determination of essential biomarkers in lung cancer: a real-world data study in Spain with demographic, clinical, epidemiological and pathological characteristics
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.
BMC Cancer (2022) 22:732

10.1186/s12885-022-09830-8
https://pubmed.ncbi.nlm.nih.gov/35790916

Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness
Ariam Rivas and Maria-Esther Vidal
11th on Knowledge Capture Conference (K-CAP '21)

10.1145/3460210.3493560
https://dl.acm.org/doi/10.1145/3460210.3493560

An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study
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.
Cancers 2022, 14(16), 4041

10.3390/cancers14164041
https://pubmed.ncbi.nlm.nih.gov/36011034/

P08.01 Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together
M. Torrente, F. Franco, V. Calvo, A. Collazo Lorduy, E. Menasalvas, M.E. Vidal, P. Sousa, J. Pimentao, V. Novacek, P. Minervini, D. Fey, L. Costabello, M. Pocs, M. Provencio
Journal of Thoracic Oncology VOLUME 16, ISSUE 10, SUPPLEMENT , S991-S992, OCTOBER 01, 2021

10.1016/j.jtho.2021.08.294
https://www.jto.org/article/S1556-0864(21)02717-9/fulltext

Chronodisruption and Ambulatory Circadian Monitoring in Cancer Patients: Beyond the Body Clock
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
Current Oncology Reports (2022) 24:135–149

10.1007/s11912-021-01158-z
https://pubmed.ncbi.nlm.nih.gov/35061192/
https://doi.org/10.1007/s11912-021-01158-z

Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
Solarte Pabón O, Montenegro O, Torrente M, Rodríguez González A, Provencio M, Menasalvas E.
PeerJ Comput Sci

10.7717/peerj-cs.913
https://pubmed.ncbi.nlm.nih.gov/35494817/

Assessing the risk of cardiovascular events in patients receiving immune checkpoint inhibitors
Torrente M, Blanco M, Franco F, Garitaonaindia Y, Calvo V, Collazo-Lorduy A, Gutiérrez L, Sánchez JC, González-Del-Alba A, Hernández R, Méndez M, Cantos B, Núñez B, Sousa PAC, Provencio M.
Front Cardiovasc Med. 2022; 9: 1062858

10.3389/fcvm.2022.1062858
https://pubmed.ncbi.nlm.nih.gov/36531707/