Browsing by Author "Cirillo, Davide"
Now showing items 1-17 of 17
-
A multilayer network approach to elucidate severity in Congenital Myasthenic Syndromes
Núñez-Carpintero, Iker; Cirillo, Davide; Valencia, Alfonso (Barcelona Supercomputing Center, 2019-05-07)
Conference report
Open Access -
Artificial intelligence in cancer research: learning at different levels of data granularity
Cirillo, Davide; Nuñez Carpintero, Iker; Valencia, Alfonso (Wiley, 2021)
Article
Open AccessFrom genome-scale experimental studies to imaging data, behavioral footprints, and longitudinal healthcare records, the convergence of big data in cancer research and the advances in Artificial Intelligence (AI) is paving ... -
Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
Santus, Enrico; Marino, Nicola; Cirillo, Davide; Chersoni, Emmanuele; Montagud, Arnau; Santuccione Chadha, Antonella; Valencia, Alfonso; Hughes, Kevin; Lindvall, Charlotta (JMIR Publications, 2021-03)
Article
Open AccessArtificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four ... -
COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain
Ponce De Leon, Miguel; Valle, Javier del; Fernández González, Jose María; Bernardo, Marc; Cirillo, Davide; Sanchez Valle, Jon; Smith, Matthew; Capella Gutiérrez, Salvador; Gullón, Tania; Valencia, Alfonso (Nature Research, 2021)
Article
Open AccessCOVID-19 is an infectious disease caused by the SARS-CoV-2 virus, which has spread all over the world leading to a global pandemic. The fast progression of COVID-19 has been mainly related to the high contagion rate of the ... -
Deep and cognitive learning applied to Precision Medicine: the initial experiments linking (epi)genome to phenotypes-disease characteristics
Cirillo, Davide; Valencia, Alfonso (Barcelona Supercomputing Center, 2017-05-04)
Conference report
Open AccessPresent-day era of Big Data provides the unique opportunity to develop innovative approaches for data analysis to find new insights into specialized fields of biomedical research such as Precision Medicine [1]. Precision ... -
Digital biomarkers and sex impacts in Alzheimer’s disease management — potential utility for innovative 3P medicine approach
Harms, Robbert L.; Ferrari, Alberto; Meier, Irene B.; Martinkova, Julie; Santus, Enrico; Cirillo, Davide; Valencia, Alfonso (BioMed Central (BMC), 2022-06)
Article
Open AccessDigital biomarkers are defined as objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices. Their use has revolutionized clinical research by enabling high-frequency, ... -
Harnessing the computing continuum across personalized healthcare, maintenance and inspection, and Farming 4.0
Baghdadi, Fatemeh; Cirillo, Davide; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Vázquez Novoa, Fernando; Lomurno, Eugenio; Archetti, Alberto; Ardagna, Danilo; Matteucci, Matteo (SciTePress, 2024)
Conference report
Open AccessThe AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum. This continuum ensures the coherent integration ... -
Lung Tissue Multi-Layer Network Analysis Uncovers the Molecular Heterogeneity of COPD
Olvera, Nuria; Sanchez Valle, Jon; Nuñez Carpintero, Iker; Rojas Quintero, Joselyn; Noell, Guillaume; Lepore, Rosalba; Cirillo, Davide; Valencia, Alfonso (American Thoracic Society, 2024)
Article
Restricted access - publisher's policyBackground. Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous condition. We hypothesized that the unbiased integration of different COPD lung omics using a novel multi-layer approach may unravel mechanisms ... -
Novel genotype–phenotype correlations, differential cerebellar allele-specific methylation, and a common origin of the (ATTTC)n insertion in spinocerebellar ataxia type 37
Sanchez Flores, Marina; Corral Juan, Marc; Gasch Navalón, Esther; Cirillo, Davide; Sanchez, Ivelisse; Matilla Dueñas, Antoni (Springer, 2024)
Article
Open AccessSpinocerebellar ataxia subtype 37 (SCA37) is a rare disease originally identified in ataxia patients from the Iberian Peninsula with a pure cerebellar syndrome. SCA37 patients carry a pathogenic intronic (ATTTC)n repeat ... -
Raising awareness of sex and gender bias in artificial intelligence and health
Buslón, Nataly; Cortés, Atia; Catuara Solarz, Silvina; Cirillo, Davide; Rementeria, Maria José (Frontiers Media, 2023)
Article
Open AccessHistorically, biomedical research has been led by and focused on men. The recent introduction of Artificial Intelligence (AI) in this area has further proven this practice to be discriminatory for other sexes and genders, ... -
Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes
Nuñez Carpintero, Iker; Rigau, Maria; Bosio, Mattia; O’Connor, Emily; Spendiff, Sally; Capella Gutiérrez, Salvador; Cirillo, Davide; Valencia, Alfonso (Nature Research, 2024)
Article
Open AccessExploring the molecular basis of disease severity in rare disease scenarios is a challenging task provided the limitations on data availability. Causative genes have been described for Congenital Myasthenic Syndromes (CMS), ... -
Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Cirillo, Davide; Catuara Solarz, Silvina; Morey, Czuee; Guney, Emre; Subirats, Laia; Mellino, Simona; Gigante, Annalisa; Valencia, Alfonso; Rementeria, María José; Santuccione Chadha, Antonella; Mavridis, Nikolaos (Springer Nature, 2020)
Article
Open AccessPrecision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation ... -
Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment
Ferrari, Alberto; Santus, Enrico; Cirillo, Davide; Ponce De Leon, Miguel; Marino, Nicola; Ferreti, Maria Teresa; Santuccione Chadha, Antonella; Mavridis, Nikolaos; Valencia, Alfonso (Springer Nature, 2021)
Article
Open AccessTargeted contact-tracing through mobile phone apps has been proposed as an instrument to help contain the spread of COVID-19 and manage the lifting of nation-wide lock-downs currently in place in USA and Europe. However, ... -
The multilayer community structure of medulloblastoma
Nuñez Carpintero, Iker; Cirillo, Davide; Valencia, Alfonso (Barcelona Supercomputing Center, 2021-05)
Conference report
Open AccessBiomedical multilayer networks offer a wide range of possibilities for the interpretation of the molecular basis of diseases; a particularly challenging task in the case of rare diseases, where the number of cases is ... -
The multilayer community structure of medulloblastoma
Nuñez Carpintero, Iker; Petrizzelli, Marianyela; Zinovyev, Andrei; Cirillo, Davide; Valencia, Alfonso (Cell Press, 2021)
Article
Open AccessMultilayer networks allow interpreting the molecular basis of diseases, which is particularly challenging in rare diseases where the number of cases is small compared with the size of the associated multi-omics datasets. ... -
The PENGUIN approach to reconstruct protein interactions at enhancer-promoter regions and its application to prostate cancer
Armaos, Alexandros; Serra, François; Nuñez Carpintero, Iker; Seo, Ji-Heui; Baca, Sylvan C.; Gustincich, Stefano; Valencia, Alfonso; Freedman, Matthew L.; Cirillo, Davide; Giambartolomei, Claudia; Tartaglia, Gian Gaetano (Nature Research, 2023-12)
Article
Open AccessWe introduce Promoter-Enhancer-Guided Interaction Networks (PENGUIN), a method for studying protein-protein interaction (PPI) networks within enhancer-promoter interactions. PENGUIN integrates H3K27ac-HiChIP data with ... -
The relapsed acute lymphoblastic leukemia network (ReALLNet): a multidisciplinary project from the spanish society of pediatric hematology and oncology (SEHOP)
Velasco, Pablo; Bautista, Francisco; Rubio, Alba; Aguilar, Yurena; Rives, Susana; Cirillo, Davide (Frontiers Media, 2023-09)
Article
Open AccessAcute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with survival rates exceeding 85%. However, 15% of patients will relapse; consequently, their survival rates decrease to below 50%. Therefore, several ...