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11.
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10 p, 1.5 MB |
Prediction of protein subplastid localization and origin with PlastoGram
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Sidorczuk, Katarzyna (University of Wrocław) ;
Gagat, Przemysław (University of Wrocław) ;
Kała, Jakub (Warsaw University of Technology) ;
Nielsen, Henrik (Technical University of Denmark. Department of Health Technology) ;
Pietluch, Filip (University of Wrocław) ;
Mackiewicz, Paweł (University of Wrocław) ;
Burdukiewicz, Michał (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Due to their complex history, plastids possess proteins encoded in the nuclear and plastid genome. Moreover, these proteins localize to various subplastid compartments. Since protein localization is associated with its function, prediction of subplastid localization is one of the most important steps in plastid protein annotation, providing insight into their potential function. [...]
2023 -  10.1038/s41598-023-35296-0
Scientific reports, Vol. 13 (May 2023) , art. 8365
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12.
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22 p, 2.1 MB |
A semi-agnostic ansatz with variable structure for variational quantum algorithms
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Bilkis, Matias (Universitat Autònoma de Barcelona. Departament de Física) ;
Cerezo, Marco (Los Alamos National Laboratory. Center for Nonlinear Studies) ;
Verdon, Guillaume (University of Waterloo. Institute for Quantum Computing) ;
Coles, Patrick (Los Alamos National Laboratory. Theoretical Division) ;
Cincio, Lukasz (Los Alamos National Laboratory. Theoretical Division)
Quantum machine learning-and specifically Variational Quantum Algorithms (VQAs)-offers a powerful, flexible paradigm for programming near-term quantum computers, with applications in chemistry, metrology, materials science, data science, and mathematics. [...]
2023 - 10.1007/s42484-023-00132-1
Quantum machine intelligence, Vol. 5, Issue 2 (December 2023) , art. 43
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13.
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12 p, 2.5 MB |
Toward machine learning for microscopic mechanisms : A formula search for crystal structure stability based on atomic properties
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Gajera, Udaykumar (University of Turin. Chemistry Department) ;
Storchi, Loriano (Università Degli Studi G. d'Annunzio. Dipartimento di Farmacia) ;
Amoroso, Danila (Université de Liège. NanoMat/Q-mat/CESAM) ;
Delodovici, Francesco (Université Paris-Saclay. CentraleSupélec) ;
Picozzi, Silvia (Consiglio Nazionale Delle Ricerche)
Machine-learning techniques are revolutionizing the way to perform efficient materials modeling. We here propose a combinatorial machine-learning approach to obtain physical formulas based on simple and easily accessible ingredients, such as atomic properties. [...]
2022 - 10.1063/5.0088177
Journal of applied physics, Vol. 131, Issue 21 (June 2022) , art. 215703
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14.
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9 p, 1.5 MB |
Deep machine learning for meteor monitoring : Advances with transfer learning and gradient-weighted class activation mapping
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Peña-Asensio, Eloy (Universitat Autònoma de Barcelona. Departament de Química) ;
Trigo Rodríguez, Josep Maria (Institut de Ciències de l'Espai) ;
Grèbol-Tomàs, Pau (Institut de Ciències de l'Espai) ;
Regordosa-Avellana, David (Spanish Meteor Network) ;
Rimola, Albert (Universitat Autònoma de Barcelona. Departament de Química)
In recent decades, the use of optical detection systems for meteor studies has increased dramatically, resulting in huge amounts of data being analyzed. Automated meteor detection tools are essential for studying the continuous meteoroid incoming flux, recovering fresh meteorites, and achieving a better understanding of our Solar System. [...]
2023 - 10.1016/j.pss.2023.105802
Planetary and Space Science, Vol. 238 (November 2023) , art. 105802
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15.
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11 p, 897.2 KB |
MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes
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Bretzner, Martin (University of Lille) ;
Bonkhoff, Anna K. (Massachusetts General Hospital) ;
Schirmer, Markus D. (Massachusetts General Hospital) ;
Hong, Sungmin (Massachusetts General Hospital) ;
Dalca, Adrian V. (Massachusetts Institute of Technology) ;
Donahue, Kathleen L. (Massachusetts General Hospital) ;
Giese, Anne-Katrin (Massachusetts General Hospital) ;
Etherton, Mark R. (Massachusetts General Hospital) ;
Rist, Pamela M. (Brigham and Women's Hospital) ;
Nardin, Marco (Massachusetts General Hospital) ;
Marinescu, Razvan (Massachusetts Institute of Technology) ;
Wang, Clinton (Massachusetts Institute of Technology) ;
Regenhardt, Robert W. (Massachusetts General Hospital) ;
Leclerc, Xavier (University of Lille) ;
Lopes, Renaud (Institut Pasteur de Lille) ;
Benavente, Oscar R. (Department of Medicine, University of British Columbia) ;
Cole, John W. (Department of Neurology, University of Maryland School of Medicine a) ;
Donatti, Amanda (School of Medical Sciences, University of Campinas (Brasil)) ;
Griessenauer, Christoph J. (Paracelsus Medical University) ;
Heitsch, Laura (Department of Neurology, Washington University School of Medicine) ;
Holmegaard, Lukas (Sahlgrenska Academy at University of Gothenburg) ;
Jood, Katarina (University of Gothenburg) ;
Jimenez-Conde, Jordi (Institut Hospital del Mar d'Investigacions Mèdiques) ;
Kittner, Steven J. (Department of Neurology, University of Maryland School of Medicine) ;
Lemmens, Robin (University Hospitals Leuven) ;
Levi, Christopher R. (Department of Neurology, John Hunter Hospital) ;
McArdle, Patrick F. (Department of Medicine, University of Maryland School of Medicine) ;
McDonough, Caitrin W. (Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, University of Florida) ;
Meschia, James F. (Mayo Clinic (Estats Units d'Amèrica)) ;
Phuah, Chia-Ling (Department of Neurology, Washington University School of Medicine) ;
Rolfs, Arndt (Centogene (Alemanya)) ;
Ropele, Stefan (Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz) ;
Rosand, Jonathan (Massachusetts General Hospital) ;
Roquer, Jaume (Department of Neurology, University of Miami) ;
Rundek, Tatjana (Department of Neurology, University of Miami) ;
Sacco, Ralph L. (Department of Neurology University of Miami) ;
Schmidt, Reinhold (Department of Neurology, Medical University of Graz) ;
Sharma, Pankaj (St. Peter's Hospitals (Regne Unit)) ;
Slowik, Agnieszka (Department of Neurology, Jagiellonian University Medical College) ;
Sousa, Alessandro (Department of Neurology, University of Maryland School of Medicine) ;
Stanne, Tara M. (University of Gothenburg) ;
Strbian, Daniel (Department of Neurology, Helsinki University Central Hospital) ;
Tatlisumak, Turgut (Department of Neurology, Sahlgrenska University Hospital) ;
Thijs, Vincent (Florey Institute of Neuroscience and Mental Health, Department of Neurology Austin Health) ;
Vagal, Achala (Department of Radiology, University of Cincinnati College of Medicine) ;
Wasselius, Johan (Skåne University Hospital (Suècia)) ;
Woo, Daniel (Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine) ;
Wu, Ona (Massachusetts General Hospital) ;
Zand, Ramin (Department of Neurology, Geisinger) ;
Worrall, Bradford B. (Department of Neurology and Public Health Sciences, University of Virginia) ;
Maguire, Jane M. (University of Technology Sydney) ;
Lindgren, Arne (Department of Clinical Sciences Lund, Lund University) ;
Jern, Christina (Sahlgrenska Academy at University of Gothenburg) ;
Golland, Polina (Massachusetts Institute of Technology) ;
Kuchcinski, Grégory (University of Lille) ;
Rost, Natalia S. (Massachusetts General Hospital) ;
Universitat Autònoma de Barcelona
Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. [...]
2021 - 10.3389/fnins.2021.691244
Frontiers in Neuroscience, Vol. 15 (july 2021)
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16.
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22 p, 4.1 MB |
Understanding and Predicting Cognitive Improvement of Young Adults in Ischemic Stroke Rehabilitation Therapy
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Martinez, Helard Becerra (University of College Dublin) ;
Cisek, Katryna (Technological University Dublin) ;
Garcia-Rudolph, Alejandro (Institut Germans Trias i Pujol. Fundació Lluita Contra les Infeccions) ;
Kelleher, John D. (Technological University Dublin) ;
Hines, Andrew (University of College Dublin) ;
Universitat Autònoma de Barcelona
Accurate early predictions of a patient's likely cognitive improvement as a result of a stroke rehabilitation programme can assist clinicians in assembling more effective therapeutic programs. In addition, sufficient levels of explainability, which can justify these predictions, are a crucial requirement, as reported by clinicians. [...]
2022 - 10.3389/fneur.2022.886477
Frontiers in neurology, Vol. 13 (july 2022)
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17.
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26 p, 520.5 KB |
Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis
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Lobato-Delgado, Barbara (Institut d'Investigació Biomèdica Sant Pau) ;
Priego-Torres, Blanca (Instituto de Investigación e Innovación Biomédica de Cádiz) ;
Sanchez-Morillo, Daniel (Instituto de Investigación e Innovación Biomédica de Cádiz)
Cancer is one of the most detrimental diseases globally. Accordingly, the prognosis prediction of cancer patients has become a field of interest. In this review, we have gathered 43 state-of-the-art scientific papers published in the last 6 years that built cancer prognosis predictive models using multimodal data. [...]
2022 - 10.3390/cancers14133215
Cancers, Vol. 14 Núm. 13 (July 2022) , p. 3215
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18.
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11 p, 1.1 MB |
Machine Learning-Based Analysis in the Management of Iatrogenic Bile Duct Injury During Cholecystectomy : a Nationwide Multicenter Study
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Lopez-Lopez, Victor (Hospital Clínico Universitario Virgen de la Arrixaca (El Palmar, Múrcia)) ;
Maupoey, Javier (Hospital Universitari i Politècnic La Fe (València)) ;
López-Andujar, Rafael (Hospital Universitari i Politècnic La Fe (València)) ;
Ramos, Emilio (Hospital Universitari de Bellvitge) ;
Mils, Kristel (Hospital Universitari de Bellvitge) ;
Martinez, Pedro Antonio (Universidad de Murcia) ;
Valdivieso, Andres (Hospital Universitari de Cruces) ;
Garcés-Albir, Marina (Universitat de València) ;
Sabater, Luis (Universitat de València) ;
Valladares, Luis Díez (Hospital Clínico San Carlos (Madrid)) ;
Pérez, Sergio Annese (Hospital Universitario de Morales) ;
Flores, Benito (Hospital Universitario de Morales) ;
Brusadin, Roberto (Hospital Universitario Virgen de la Arrixaca (Múrcia)) ;
Conesa, Asunción López (Hospital Universitario Virgen de la Arrixaca (Múrcia)) ;
Cayuela, Valentin (Hospital Universitario Virgen de la Arrixaca (Múrcia)) ;
Cortijo, Sagrario Martinez (Hospital Universitario de Alcorcon) ;
Paterna, Sandra (Hospital Universitario Miguel Servet (Saragossa)) ;
Serrablo, Alejando (Hospital Universitario Miguel Servet (Saragossa)) ;
Sánchez-Cabús, Santiago (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya)) ;
Gil, Antonio González (Hospital Universitario Los Arcos del Mar Menor) ;
Masía, Jose Antonio González (Hospital Universitario General) ;
Loinaz, Carmelo (Hospital Universitario 12 de Octubre (Madrid)) ;
Lucena, Jose Luis (Hospital Universitario Puerta de Hierro Majadahonda (Madrid)) ;
Pastor, Patricia (Hospital Universitario Reina Sofía (Còrdova, Espanya)) ;
Garcia-Zamora, Cristina (Hospital Rafael Mendez) ;
Calero, Alicia (Hospital Universitario Elche) ;
Valiente, Juan (Hospital Hellin) ;
Minguillon, Antonio (Hospital Obispo Polanco) ;
Rotellar, Fernando ;
Ramia, Jose Manuel (Hospital Universitario Dr. Balmis General) ;
Alcazar, Cándido (Hospital Universitario Dr. Balmis General) ;
Aguilo, Javier (Hospital Lluís Alcanyís) ;
Cutillas, Jose (Hospital Francesc de Borja) ;
Kuemmerli, Christoph ;
Ruiperez-Valiente, Jose A. (Universidad de Murcia) ;
Robles-Campos, Ricardo (Hospital Universitario Virgen de la Arrixaca (Múrcia)) ;
Universitat Autònoma de Barcelona
Iatrogenic bile duct injury (IBDI) is a challenging surgical complication. IBDI management can be guided by artificial intelligence models. Our study identified the factors associated with successful initial repair of IBDI and predicted the success of definitive repair based on patient risk levels. [...]
2022 - 10.1007/s11605-022-05398-7
Journal of Gastrointestinal Surgery, Vol. 26 (july 2022) , p. 1713-1723
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19.
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19 p, 2.2 MB |
Mutational Status of SMAD4 and FBXW7 Affects Clinical Outcome in TP53 -Mutated Metastatic Colorectal Cancer
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Lahoz, Sara (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Rodríguez, Adela (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Fernández-Barat, Laia (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Gorría, Teresa (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Moreno, Reinaldo (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Esposito, Francis (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Oliveres, Helena (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Albiol, Santiago (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Saurí, Tamara (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Pesantez, David (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Riu-Viladoms, G (Hospital Clínic i Provincial de Barcelona) ;
Cuatrecasas, Miriam (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Jares, Pedro (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Pedrosa, Leire (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Pineda, Estela (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Castells, Antoni (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Prat, Aleix (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Maurel, Joan (Institut d'Investigacions Biomèdiques August Pi i Sunyer) ;
Camps, Jordi (Universitat Autònoma de Barcelona. Departament de Biologia Cel·lular, de Fisiologia i d'Immunologia)
The mutational status of certain genes can be useful to advance therapeutic decision making and clinical management of cancer patients. In metastatic colorectal cancer, current clinicopathological factors employed in clinical practice have low or modest individual effect on survival, leading to a poor ability to discriminate patients at high risk. [...]
2022 - 10.3390/cancers14235921
Cancers, Vol. 14, Num. 23 (November 2022) , art. 5921
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20.
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14 p, 1.2 MB |
Machine learning computational tools to assist the performance of systematic reviews : A mapping review
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Cierco Jimenez, Ramon (Universitat Autònoma de Barcelona. Departament de Medicina) ;
Lee, Teresa (International Agency for Research on Cancer) ;
Rosillo, Nicolás (Hospital Universitario 12 de Octubre (Madrid)) ;
Cordova, Reynalda (University of Vienna) ;
Cree, Ian A (International Agency for Research on Cancer) ;
Gonzalez, Angel (Universitat Autònoma de Barcelona. Departament de Medicina) ;
Indave Ruiz, Blanca Iciar (International Agency for Research on Cancer)
Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. [...]
2022 - 10.1186/s12874-022-01805-4
BMC Medical Research Methodology, Vol. 22 (december 2022)
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