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686 results on '"Kuznetsov,Dmitry"'

1. A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications

Author

Bolleman, Jerven, Emonet, Vincent, Altenhoff, Adrian, Bairoch, Amos, Blatter, Marie-Claude, Bridge, Alan, Duvaud, Severine, Gasteiger, Elisabeth, Kuznetsov, Dmitry, Moretti, Sebastien, Michel, Pierre-Andre, Morgat, Anne, Pagni, Marco, Redaschi, Nicole, Zahn-Zabal, Monique, de Farias, Tarcisio Mendes, and Sima, Ana Claudia

Subjects
Computer Science - Databases, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

Background. In the last decades, several life science resources have structured data using the same framework and made these accessible using the same query language to facilitate interoperability. Knowledge graphs have seen increased adoption in bioinformatics due to their advantages for representing data in a generic graph format. For example, yummydata.org catalogs more than 60 knowledge graphs accessible through SPARQL, a technical query language. Although SPARQL allows powerful, expressive queries, even across physically distributed knowledge graphs, formulating such queries is a challenge for most users. Therefore, to guide users in retrieving the relevant data, many of these resources provide representative examples. These examples can also be an important source of information for machine learning, if a sufficiently large number of examples are provided and published in a common, machine-readable and standardized format across different resources. Findings. We introduce a large collection of human-written natural language questions and their corresponding SPARQL queries over federated bioinformatics knowledge graphs (KGs) collected for several years across different research groups at the SIB Swiss Institute of Bioinformatics. The collection comprises more than 1000 example questions and queries, including 65 federated queries. We propose a methodology to uniformly represent the examples with minimal metadata, based on existing standards. Furthermore, we introduce an extensive set of open-source applications, including query graph visualizations and smart query editors, easily reusable by KG maintainers who adopt the proposed methodology. Conclusions. We encourage the community to adopt and extend the proposed methodology, towards richer KG metadata and improved Semantic Web services.

Published
2024

2. Estimating risk of consequences following hypoglycaemia exposure using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials

Author

Mellor, Joseph, Kuznetsov, Dmitry, Heller, Simon, Gall, Mari-Anne, Rosilio, Myriam, Amiel, Stephanie A., Ibberson, Mark, McGurnaghan, Stuart, Blackbourn, Luke, Berthon, William, Salem, Adel, Qu, Yongming, McCrimmon, Rory J., de Galan, Bastiaan E., Pedersen-Bjergaard, Ulrik, Leaviss, Joanna, McKeigue, Paul M., and Colhoun, Helen M.

Published
2024
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3. Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials

Author

Mellor, Joseph, Kuznetsov, Dmitry, Heller, Simon, Gall, Mari-Anne, Rosilio, Myriam, Amiel, Stephanie A., Ibberson, Mark, McGurnaghan, Stuart, Blackbourn, Luke, Berthon, William, Salem, Adel, Qu, Yongming, McCrimmon, Rory J., de Galan, Bastiaan E., Pedersen-Bjergaard, Ulrik, Leaviss, Joanna, McKeigue, Paul M., and Colhoun, Helen M.

Published
2024
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5. Methodological Aspects of Formation of Regional Policy of the State from the Position of Eco-System Approach (on the Example of Agricultural Sector of Kaliningrad Region)

Author

Alieva, Inobbat, Kuznetsov, Dmitry, Skorobogatykh, Elena, Martynov, Anton, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Polyakov, Ruslan, editor

Published
2024
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10. Identification of biomarkers for glycaemic deterioration in type 2 diabetes

Author

Slieker, Roderick C., Donnelly, Louise A., Akalestou, Elina, Lopez-Noriega, Livia, Melhem, Rana, Güneş, Ayşim, Abou Azar, Frederic, Efanov, Alexander, Georgiadou, Eleni, Muniangi-Muhitu, Hermine, Sheikh, Mahsa, Giordano, Giuseppe N., Åkerlund, Mikael, Ahlqvist, Emma, Ali, Ashfaq, Banasik, Karina, Brunak, Søren, Barovic, Marko, Bouland, Gerard A., Burdet, Frédéric, Canouil, Mickaël, Dragan, Iulian, Elders, Petra J. M., Fernandez, Celine, Festa, Andreas, Fitipaldi, Hugo, Froguel, Phillippe, Gudmundsdottir, Valborg, Gudnason, Vilmundur, Gerl, Mathias J., van der Heijden, Amber A., Jennings, Lori L., Hansen, Michael K., Kim, Min, Leclerc, Isabelle, Klose, Christian, Kuznetsov, Dmitry, Mansour Aly, Dina, Mehl, Florence, Marek, Diana, Melander, Olle, Niknejad, Anne, Ottosson, Filip, Pavo, Imre, Duffin, Kevin, Syed, Samreen K., Shaw, Janice L., Cabrera, Over, Pullen, Timothy J., Simons, Kai, Solimena, Michele, Suvitaival, Tommi, Wretlind, Asger, Rossing, Peter, Lyssenko, Valeriya, Legido Quigley, Cristina, Groop, Leif, Thorens, Bernard, Franks, Paul W., Lim, Gareth E., Estall, Jennifer, Ibberson, Mark, Beulens, Joline W. J., ’t Hart, Leen M, Pearson, Ewan R., and Rutter, Guy A.

Published
2023
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13. The Beginning of the Gaming Era, Parental Controls and Technical Acumen

Author

Bylieva, Daria, Lobatyuk, Victoria, Kuznetsov, Dmitry, Demir, Çağlar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bylieva, Daria, editor, and Nordmann, Alfred, editor

Published
2023
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14. The Language of Smell: Code Failure

Author

Bylieva, Daria, Lobatyuk, Victoria, Kuznetsov, Dmitry, Anosova, Natalia, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bylieva, Daria, editor, and Nordmann, Alfred, editor

Published
2023
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17. MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Author

Song, Wei, Li, Xuezixiang, Afroz, Sadia, Garg, Deepali, Kuznetsov, Dmitry, and Yin, Heng

Subjects
Computer Science - Cryptography and Security
Abstract

Modern commercial antivirus systems increasingly rely on machine learning to keep up with the rampant inflation of new malware. However, it is well-known that machine learning models are vulnerable to adversarial examples (AEs). Previous works have shown that ML malware classifiers are fragile to the white-box adversarial attacks. However, ML models used in commercial antivirus products are usually not available to attackers and only return hard classification labels. Therefore, it is more practical to evaluate the robustness of ML models and real-world AVs in a pure black-box manner. We propose a black-box Reinforcement Learning (RL) based framework to generate AEs for PE malware classifiers and AV engines. It regards the adversarial attack problem as a multi-armed bandit problem, which finds an optimal balance between exploiting the successful patterns and exploring more varieties. Compared to other frameworks, our improvements lie in three points. 1) Limiting the exploration space by modeling the generation process as a stateless process to avoid combination explosions. 2) Due to the critical role of payload in AE generation, we design to reuse the successful payload in modeling. 3) Minimizing the changes on AE samples to correctly assign the rewards in RL learning. It also helps identify the root cause of evasions. As a result, our framework has much higher black-box evasion rates than other off-the-shelf frameworks. Results show it has over 74\%--97\% evasion rate for two state-of-the-art ML detectors and over 32\%--48\% evasion rate for commercial AVs in a pure black-box setting. We also demonstrate that the transferability of adversarial attacks among ML-based classifiers is higher than the attack transferability between purely ML-based and commercial AVs.

Published
2020

20. Incorporating heterogeneous sampling probabilities in continuous phylogeographic inference - Application to H5N1 spread in the Mekong region.

Author

Dellicour, Simon, Lemey, Philippe, Artois, Jean, Lam, Tommy T, Fusaro, Alice, Monne, Isabella, Cattoli, Giovanni, Kuznetsov, Dmitry, Xenarios, Ioannis, Dauphin, Gwenaelle, Kalpravidh, Wantanee, Von Dobschuetz, Sophie, Claes, Filip, Newman, Scott H, Suchard, Marc A, Baele, Guy, and Gilbert, Marius

Subjects
Emerging Infectious Diseases, Animals, Disease Outbreaks, Influenza A Virus, H5N1 Subtype, Influenza in Birds, Phylogeny, Phylogeography, Probability, Mathematical Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract

MotivationThe potentially low precision associated with the geographic origin of sampled sequences represents an important limitation for spatially explicit (i.e. continuous) phylogeographic inference of fast-evolving pathogens such as RNA viruses. A substantial proportion of publicly available sequences is geo-referenced at broad spatial scale such as the administrative unit of origin, rather than more precise locations (e.g. geographic coordinates). Most frequently, such sequences are either discarded prior to continuous phylogeographic inference or arbitrarily assigned to the geographic coordinates of the centroid of their administrative area of origin for lack of a better alternative.ResultsWe here implement and describe a new approach that allows to incorporate heterogeneous prior sampling probabilities over a geographic area. External data, such as outbreak locations, are used to specify these prior sampling probabilities over a collection of sub-polygons. We apply this new method to the analysis of highly pathogenic avian influenza H5N1 clade data in the Mekong region. Our method allows to properly include, in continuous phylogeographic analyses, H5N1 sequences that are only associated with large administrative areas of origin and assign them with more accurate locations. Finally, we use continuous phylogeographic reconstructions to analyse the dispersal dynamics of different H5N1 clades and investigate the impact of environmental factors on lineage dispersal velocities.Availability and implementationOur new method allowing heterogeneous sampling priors for continuous phylogeographic inference is implemented in the open-source multi-platform software package BEAST 1.10.Supplementary informationSupplementary data are available at Bioinformatics online.

Published
2020

23. Funding the Management of Municipal Solid Waste Through Public-Private Partnerships

Author

Gubernatorov, Alexey M., Kuznetsov, Dmitry V., Makunina, Irina V., Bystrenina, Irina E., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Popkova, Elena G., editor, Polukhin, Andrey A., editor, and Ragulina, Julia V., editor

Published
2022
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24. 'Without Electricity/Gravity…' Generating Ideas About the Fate of Civilization

Author

Bylieva, Daria, Lobatyuk, Victoria, Kuznetsov, Dmitry, Nam, Tatiana, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bylieva, Daria, editor, and Nordmann, Alfred, editor

Published
2022
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29. Extraterrestrial sedimentary rocks on Earth

Author

Anfinogenova, Yana, Anfinogenov, John, Budaeva, Larisa, and Kuznetsov, Dmitry

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

This concept article discusses the possibilities for identifying sedimentary-origin meteorites. The paper concerns (i) the macroscopic candidate for sedimentary meteorite in the epicenter of the 1908 Tunguska catastrophe; (ii) potential parent bodies for sedimentary meteorites; (iii) isotopic heterogeneity of unmixed silicate reservoirs on Mars; (iv) possible terrestrial loss or contamination in the noble gas signatures in new type meteorites that spent time in extreme weather conditions; (v) cosmogenic isotopes and shielding; and (vi) pseudo meteorites. We conclude that the list of candidate parent bodies for sedimentary meteorites includes, but is not limited by the Earth, Mars, Enceladus, Ganymede, Europa, and hypothetical planets that could exist between orbits of Mars and Jupiter in the past. A parent body for extraterrestrial sedimentary rocks on the Earth should be identified based on the entire body of evidence which is not limited solely by tests of oxygen and noble gas isotopes whose signatures may undergo terrestrial contamination and may exhibit significant heterogeneity within the parent bodies. Observed fall of cosmic body, evidence of hypervelocity impact complying with the criteria of impact structures, and the presence of fusion crust on the fragments should be considered as priority signs of meteoritic origin., Comment: 20 pages, 3 figures, 75 references. arXiv admin note: text overlap with arXiv:1605.01892

Published
2017

30. Information Technologies in the Context of Forming the Synergy of Post-industrial Consciousness and Digital Economy

Author

Vlasova, Natalya V., Kuznetsov, Dmitry V., Mehdiev, Shamsaddin Z., Timofeeva, Ekaterina S., Chistyakov, Maxim S., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Popkova, Elena G., editor, and Sergi, Bruno S., editor

Published
2021
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31. How Human Communication Influences Virtual Personal Assistants

Author

Bylieva, Daria, Lobatyuk, Victoria, Kuznetsov, Dmitry, Anosova, Natalia, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bylieva, Daria, editor, Nordmann, Alfred, editor, Shipunova, Olga, editor, and Volkova, Violetta, editor

Published
2021
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32. Alternative Mineral Powders for Asphalt Concrete

Author

Vysotskaya, Marina, Vdovin, Evgenii, Kuznetsov, Dmitry, Shiryaev, Artem, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Vatin, Nikolai, editor

Published
2021
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36. Contemporary Management of Severe Symptomatic Aortic Stenosis

Author

Iung, Bernard, Bax, Jeroen, De Bonis, Michele, Delgado, Victoria, Haude, Michael, Hindricks, Gerhard, Maggioni, Aldo P., Pierard, Luc, Popescu, Bogdan A., Prendergast, Bernard, Price, Susanna, Rosenhek, Raphael, Ruschitzka, Frank, Vahanian, Alec, Wendler, Olaf, Windecker, Stephan, Mekhaldi, Souad, Lemaitre, Katell, Authier, Sébastien, Laroche, Cécile, Abdelhamid, Magdy, Apor, Astrid, Bajraktari, Gani, Beleslin, Branko, Bogachev-Prokophiev, Alexander, Demarco, Daniela Cassar, Pasquet, Agnes, Dogan, Sait Mesut, Erglis, Andrejs, Evangelista, Arturo, Goda, Artan, Ihlemann, Nikolaj, Ince, Huseyin, Katsaros, Andreas, Linhartova, Katerina, Mascherbauer, Julia, Mirrakhimov, Erkin, Mizariene, Vaida, Rahman-Haley, Shelley, Ribeiras, Regina, Samadov, Fuad, Saraste, Antti, Simkova, Iveta, Kostovska, Elizabeta Srbinovska, Tomkiewicz-Pajak, Lidia, Tribouilloy, Christophe, Zera, Eliverta, Metalla, Mimoza, Shirka, Ervina, Dado, Elona, Bica, Loreta, Aleksi, Jorida, Knuti, Gerti, Gjyli, Lidra, Pjeci, Rudina, Shuperka, Eritinka, Lleshi, Erviola, Rustemaj, Joana, Qordja, Marsjon, Gina, Mirald, Husi, Senada, Basic, Daniel, Steringer-Mascherbauer, Regina, Huber, Charlotte, Ebner, Christian, Sigmund, Elisabeth, Ploechl, Andrea, Sturmberger, Thomas, Eder, Veronica, Koppler, Tanja, Heger, Maria, Kammerlander, Andreas, Duca, Franz, Binder, Christina, Koschutnik, Matthias, Perschy, Leonard, Puskas, Lisa, Ho, Chen-Yu, Aliyev, Farid, Guluzada, Vugar, Imanov, Galib, Ibrahimov, Firdovsi, Abbasaliyev, Abbasali, Ahmedov, Tahir, Muslumova, Fargana, Babayev, Jamil, Rustamova, Yasmin, Jahangirov, Tofig, Samadov, Rauf, Museyibov, Muxtar, Isayev, Elnur, Musayev, Oktay, Xalilov, Shahin, Huseynov, Saleh, Yuzbashova, Madina, Zamanov, Vuqar, Mammadov, Vusal, Van Camp, Gery, Penicka, Martin, Batjoens, Hedwig, Debonnaire, Philippe, Dendooven, Daniel, Knecht, Sebastien, Duytschaever, Mattias, Vandekerckhove, Yves, Missault, Luc, Muyldermans, Luc, Tavernier, René, De Grande, Tineke, Coussement, Patrick, DeTroyer, Joyce, Derycker, Katrien, De Jaegher, Kelly, Bondue, Antoine, Beauloye, Christophe, Goffinet, Céline, Mirica, Daniela Corina, Eynden, Frédéric Vanden, Van de Borne, Philippe, Van Frachen, Béatrice, Vancraeynest, David, Vanoverschelde, Jean Louis, Pierard, Sophie, Malanca, Mihaela, Sinnaeve, Florence, Tahon, Séverine, De Clippel, Marie, Gayet, Frederic, Loiseau, Jacques, Van de Veire, Nico, Moerman, Veronique, Willems, Anne-Marie, Cosyns, Bernard, Droogmans, Steven, Motoc, Andreea, Kerkhove, Dirk, Plein, Daniele, Roosens, Bram, Weytjens, Caroline, Lancellotti, Patrizio, Dulgheru, Elena Raluca, Parenicova, Ilona, Bedanova, Helena, Tousek, Frantisek, Sindelarova, Stepanka, Canadyova, Julia, Taborsky, Milos, Ostransky, Jiri, Ivona simkova, Vicha, Marek, Jelinek, Libor, Opavska, Irena, Homza, Miroslav, Kvrayola, Miriam, Brat, Radim, Mrozek, Dan, Lichnerova, Eva, Docekalova, Iveta, Zarybnicka, Marta, Peskova, Marketa, Roucka, Patrik, Stastna, Vlasta, Vondrackova, Dagmar Jungwirtova, Hornig, Alfred, Niznansky, Matus, Branny, Marian, Vodzinska, Alexandra, Dorda, Miloslav, Snkouril, Libor, Kluz, Krystyna, Kypusova, Jana, Nezvalova, Radka, Olsen, Niels Thue, Ali, Hosam Hasan, Taha, Salma, Hassan, Mohamed, Afifi, Ahmed, Kabil, Hamza, Mady, Amr, Ebaid, Hany, Ahmed, Yasser, Nour, Mohammad, Talaat, Islam, Sayed, CairoMaiy El, Mostafa, Ahmad Elsayed, Sadek, CairoYasser, Eltobgi, CairoSherif, Bakhoum, Sameh, Doss, Ramy, Sheashea, Mahmoud, Elasry, Abd Allah, Fouad, Ahmed, Baraka, Mahmoud, Samir, Sameh, Roshdy, Alaa, AbdelRazek, Yasmin, Abd Rabou, Mostafa M., Abobakr, Ahmed, Moaaz, Moemen, Mokhtar, Mohamed, Ashry, Mohamed, Elkhashab, Khaled, Ghareeb, Haytham Soliman, Kamal, Mostafa, AbdelRazek, Gomaa, Farag, GizaNabil, Elbarbary, Giza:Ahmed, Wahib, Evette, Kazamel, Ghada, Kamal, Diaa, Tantawy, Mahmoud, Alansary, Adel, Yahia, Mohammed, Mahmoud, Raouf, El Banna, Tamer, Atef, Mohamed, Nasr, Gamela, Ahmed, Salah, El Hefny, Ehab E., Saifelyazal, Islam, El Ghany, Mostafa Abd, El Rahman El Hadary, Abd, Khairy, Ahmed, Lommi, Jyri, Laine, Mika, Kylmala, Minna, Kankanen, Katja, Turpeinen, Anu, Hartikainen, Juha, Kujanen, Lari, Airaksinen, Juhani, Vasankari, Tuija, Szymanski, Catherine, Bohbot, Yohann, Gun, Mesut, Rousseaux, Justine, Biere, Loic, Mateus, Victor, Audonnet, Martin, Rautureau, Jérémy, Cornet, Charles, Sorbets, Emmanuel, Mear, BourgesKarine, Issa, Adi, Jobic, Yannick, Le Ven, Florent, Pouliquen, Marie-Claire, Gilard, Martine, Ohanessian, Alice, Farhat, Ali, Vlase, Alina, Said, Fkhar, Lasgi, Caroline, Sanchez, Carlos, Breil, Romain, Peignon, Marc, Elkaim, Jean-Philippe, Jan-Blin, Virginie, BertrandM'Ban, Sylvain Ropars, Bardet, Hélène, Sawadogo, Samuel, Muschoot, Aurélie, Tchatchoua, Dieudonné, Elhadad, Simon, Maubert, Aline, Lazizi, Tahar, Ourghi, Kais, Bonnet, Philippe, Menager-Gangloff, Clarisse, Gafsi, Sofiene, Mansouri, Djidjiga, Aboyans, Victor, Magne, Julien, Martins, Elie, Karm, Sarah, Mohty, Dania, Briday, Guillaume, David, Amandine, Marechaux, Sylvestre, Le Goffic, Caroline, Binda, Camille, Menet, Aymeric, Delelis, Francois, Ringlé, Anne, Castel, Anne-Laure, Appert, Ludovic, Tristram, Domitille, Trouillet, Camille, Nacer, Yasmine, Ngoy, Lucas, Habib, MarseilleGilbert, Thuny, Franck, Haentjens, Julie, Cautela, Jennifer, Lavoute, Cécile, Robin, Floriane, Armangau, Pauline, Vergeylen, Ugo, Sanhadji, Khalil, Abdallah, Nessim Hamed, Kerzazi, Hassan, Perianu, Mariana, Plurien, François, Oueslati, Chaker, Debauchez, Mathieu, Monin, Jean-Luc, Konstantinos, Zannis, Berrebi, Alain, Dibie, Alain, Lansac, Emmanuel, Veugeois, Aurélie, Diakov, Christelle, Caussin, Christophe, Czitrom, Daniel, Salvi, Suzanna, Amabile, Nicolas, Dervanian, Patrice, Lejeune, Stéphanie, Bagdadi, Imane, Mokrane, Yemmi, Rouault, Gilles, Abalea, Jerome, Leledy, Marion, Horen, Patrice, Donal, Erwan, Bosseau, Christian, Paven, Elise, Galli, Elena, Collette, Edouard, Urien, Jean-Marie, Bridonneau, Valentin, Gervais, Renaud, Bauer, Fabrice, Chopra, Houzefa, Charbonnier, Arthur, Attias, David, Dahouathi, Nesrine, Khounlaboud, Moukda, Daudin, Magalie, Thebault, Christophe, Hamon, Cécile, Couffon, Philippe, Bellot, Catherine, Vomscheid, Maelle, Bernard, Anne, Dion, Fanny, Naudin, Djedjiga, Mouzouri, Mohammed, Rudelin, Mathilde, Berenfeld, Alain, Vanzwaelmen, Thibault, Alloui, Tarik, Radovikj, Marija Gjerakaroska, Jordanova, Slavica, Scholtz, Werner, Liberda-Knoke, Eva, Wiemer, Melanie, Mugge, Andreas, Nickenig, Georg, Sinning, Jan-Malte, Sedaghat, Alexander, Heintzen, Matthias, Ballof, Jan, Frenk, Daniel, Hambrecht, Rainer, Wienbergen, Harm, Seidel, Annemarie, Osteresch, Rico, Kramer, Kirsten, Ziemann, Janna, Schulze, Ramona, Fehske, Wolfgang, Eifler, Clarissa, Wafaisade, Bahram, Kuhn, Andreas, Fischer, Sören, Lichtenberg, Lutz, Brunold, Mareike, Simons, Judith, Balling, Doris, Buck, Thomas, Plicht, Bjoern, Schols, Wolfgang, Ebelt, Henning, Chamieh, Marwan, Anacker, Jelena, Rassaf, Tienush, Janosi, Alexander, Lind, Alexander, Lortz, Julia, Lüdike, Peter, Kahlert, Philipp, Rittger, Harald, Eichinger, Gabriele, Kuhls, Britta, Felix, Stephan B., Lehnert, Kristin, Pedersen, Ann-Louise, Dorr, Marcus, Empen, Klaus, Kaczmarek, Sabine, Busch, Mathias, Baly, Mohammed, Er, Fikret, Duman, Erkan, Gabriel, Linda, Weinbrenner, Christof, Bauersachs, Johann, Wider, Julian, Kempf, Tibor, Bohm, Michael, Schulze, Paul-Christian, Poerner, C. Tudor, Möbius-Winkler, Sven, Lenk, Karsten, Heitkamp, Kerstin, Franz, Marcus, Krauspe, Sabine, Schumacher, Burghard, Windmuller, Volker, Kurwitz, Sarah, Thiele, Holger, Kurz, Thomas, Meyer-Saraei, Roza, Akin, Ibrahim, Fastner, Christian, Lossnitzer, Dirk, Hoffmann, Ursula, Borggrefe, Martin, Baumann, Stefan, Kircher, Brigitte, Foellinger, Claudia, Dietz, Heike, Schieffer, Bernhard, Niroomand, Feraydoon, Mudra, Harald, Maier, Lars, Camboni, Daniele, Birner, Christoph, Debl, Kurt, Paulus, Michael, Seither, Benedikt, El Mokhtari, Nour Eddine, Oner, Alper, Caglayan, Evren, Sherif, Mohammed, Yucel, Seyrani, Custodis, Florian, Schwinger, Robert, Vorpahl, Marc, Seyfarth, Melchior, Nover, Ina, Koehler, Till, Christiani, Sarah, Sanchez, David Calvo, Schanze, Barbel, Sigusch, Holger, Salman, Athir, Hancock, Jane, Chambers, John, Demetrescue, Camelia, Prendergast, Claire, Dalby, Miles, Smith, Robert, Rogers, Paula, Riley, Cheryl, Tousoulis, Dimitris, Kanakakis, Ioannis, Spargias, Konstantinos, Lampropoulos, Konstantinos, Panagiotis, Tolis, Koutsoukis, Athanasios, Michalis, Lampros, Goudevenos, Ioannis, Bellos, Vasileios, Papafaklis, Michail, Lakkas, Lampros, Hahalis, George, Makris, Athanasios, Karvounis, Haralampos, Kamperidis, Vasileios, Ninios, Vlasis, Sachpekidis, Vasileios, Rouskas, Pavlos, Poulimenos, Leonidas, Charalampidis, Georgios, Hamodraka, Eftihia, Manolis, Athanasios, Kiss, Robert Gabor, Borsanyi, Tunde, Jarai, Zoltan, Zsary, Andras, Bartha, Elektra, Kosztin, Annamaria, Doronina, Alexandra, Kovacs, Attila, Imre, Barabas Janos, Chao, Chun, Benke, Kalman, Karoczkai, Istvan, Keltai, Kati, Förchécz, Zsolt, Pozsonyi, Zoltán, Jenei, Zsigmond, Patthy, Adam, Sallai, Laszlo, Majoros, Zsuzsanna, Pál, Tamás, Bencze, Jusztina, Sagi, Ildiko, Molnar, Andrea, Kurczina, Anita, Kolodzey, Gabor, Edes, Istvan, Szatmari, Valeria, Zajacz, Zsuzsanna, Cziraki, Attila, Nemeth, Adam, Faludi, Reka, Vegh, Laszlone, Jebelovszki, Eva, Lupkovics, Geza Karoly, Kovacs, Zsofia, Horvath, Andras, Berisha, Gezim, Ibrahimi, Pranvera, Percuku, Luan, Arapova, Rano, Laahunova, Elmira, Neronova, Kseniia, Zhakypova, Zarema, Naizabekova, Gulira, Muratova, Gulnazik, Sime, Iveta, Sorokins, Nikolajs, Kamzola, Ginta, Cgojeva-Sproge, Irina, Rancane, Gita, Valentinaviciene, Ramune, Rudiene, Laima, Raugaliene, Rasa, Bardzilauske, Aiste, Jonkaitiene, Regina, Petrauskaite, Jurate, Bieseviciene, Monika, Verseckaite, Raimonda, Zvirblyte, Ruta, Kalibatiene, Danute, Radauskaite, Greta, Janaviciute-Matuzeviciene, Gabija, Jancauskaite, Dovile, Balkute, Deimile, Maneikyte, Juste, Mileryte, Ingrida, Vaisvilaite, Monika, Gedvilaite, Lina, Biliukas, Mykolas, Karpaviciene, Vaiva, Xuereb, Robert George, Pllaha, Elton, Djaberi, Roxana, Komor, Klaudiusz, Gorgon-Komor, Agnieszka, Loranc, Beata, Myszor, Jaroslaw, Mizia-Stec, Katarzyna, Berger-Kucza, Adrianna, Mizia, Magdalena, Polak, Mateusz, Bogacki, Piotr, Podolec, Piotr, Komar, Monika, Sedziwy, Ewa, Sliwiak, Dorota, Sobien, Bartosz, Rog, Beata, Hlawaty, Marta, Gancarczyk, Urszula, Libiszewska, Natasza, Sorysz, Danuta, Gackowski, Andrzej, Cieply, Malgorzata, Misiuda, Agnieszka, Racibor, Franciszek, Nytko, Anna, Widenka, Kazimierz, Kolowca, Maciej, Bak, Janusz, Curzytek, Andrzej, Regulski, Mateusz, Kamela, Malgorzata, Wisniowski, Mateusz, Hryniewiecki, Tomasz, Szymanski, Piotr, Rozewicz, Monika, Grabowski, Maciej, Duchnowski, Piotr, Budaj, Andrzej, Zaborska, Beata, Pilichowska-Paskiet, Ewa, Sikora-Frac, Malgorzata, Slomski, Tomasz, Joao, Isabel, Cruz, Ines, Pereira, Hélder, Cale, Rita, Marques, Ana, Pereira, Ana Rita, Morais, Carlos, Freitas, Antonio, Roque, David, Antunes, Nuno, Pereira, Antonio Costeira, Vieira, Catarina, Salome, Nuno, Martins, Juliana, Campos, Isabel, Cardoso, Goncalo, Silva, Claudia, Oliveira, Afonso, Goncalves, Mariana, Martins, Rui, Quintal, Nuno, Mendes, Bruno, Silva, Joseline, Ferreira, Joao, Milner, James, Alves, Patricia, Marinho, Vera, Gago, Paula, Amado, Jose, Bispo, Joao, Bento, Dina, Machado, Inocencia, Oliveira, Margarida, Calvo, Lucy, von Hate, Pedro, Faria, Bebiana, Galrinho, Ana, Branco, Luisa, Goncalves, Antonio, Mendonca, Tiago, Selas, Mafalda, Macedo, Filipe, Sousa, Carla, Cabral, Sofia, Oliveira, Filomena, Trepa, Maria, Fontes-Oliveira, Marta, Nunes, Alzira, Araújo, Paulo, Ribeiro, Vasco Gama, Almeida, Joao, Rodrigues, Alberto, Braga, Pedro, Dias, Sonia, Carvalho, Sofia, Ferreira, Catarina, Ferreira, Alberto, Mateus, Pedro, Moz, Miguel, Leao, Silvia, Margato, Renato, Moreira, Ilidio, Guimanaes, Jose, Ribeiro, Joana, Goncalves, Fernando, Cabral, Jose, Almeida, Ines, Goncalves, Luisa, Tarusi, Mariana, Pop, Calin, Matei, Claudia, Tint, Diana, Barbulescu, Sanziana, Micu, Sorin, Pop, Ioana, Baba, Costica, Dimulescu, Doina, Dorobantu, Maria, Ginghina, Carmen, Onut, Roxana, Popescu, Andreea, Zamfirescu, Brandusa, Aflorii, Raluca, Popescu, Mihaela, Ghilencea, Liviu, Rachieru, Andreeea, Stoian, Monica, Oprescu, Nicoleta, Iancovici, Silvia, Petre, Iona, Mateescu, Anca Doina, Calin, Andreea, Botezatu, Simona, Enache, Roxana, Rosca, Monica, Ciuperca, Daniela, Babalac, Evelyn, Beyer, Ruxandra, Cadis, Laura, Rancea, Raluca, Tomoaia, Raluca, Rosianu, Adela, Kovacs, Emese, Militaru, Constantin, Craciun, Alina, Mirea, Oana, Florescu, Mihaela, Grigorica, Lucica, Dragusin, Daniela, Nechita, Luiza, Marinescu, Mihai, Chiscaneanu, Teodor, Botezatu, Lucia, Corciova, Costela, Petris, Antoniu Octavian, Arsenescu-Georgescu, Catalina, Salaru, Delia, Alexandrescu, Dan Mihai, Plesoianu, Carmjen, Tanasa, Ana, Mitu, Ovidiu, Costache, Irina Iuliana, Tudorancea, Ionut, Usurelu, Catalin, Eminovici, Gabriela, Manitiu, Ioan, Stoia, Oana, Mitre, Adriana, Nistor, Dan-Octavian, Maier, Anca, Lupu, Silvia, Opris, Mihaela, Ionac, Adina, Popescu, Irina, Crisan, Simina, Mornos, Cristian, Goanta, Flavia, Gruescu, Liana, Voinescu, Oana, Petcu, Madalina, Cozlac, Ramona, Damrina, Elena, Khilova, Liliya, Ryazantseva, Irina, Kozmin, Dmitry, Kiseleva, Maria, Goncharova, Marina, Kitalaeva, Kamila, Demetskay, Victoria, Verevetinov, Artem, Fomenko, Mikhail, Skripkina, Elena, Tsoi, Viktor, Antipov, Georgii, Schneider, Yuri, Yazikov, Denis, Makarova, Marina, Cherkes, Aleksei, Ermakova, Natalya, Medvedev, Aleksandr, Sarosek, Anastasia, Isayan, Mikhail, Voronova, Tatyana, Kulumbegov, Oleg, Tuchina, Alina, Stefanov, Sergei, Klimova, Margarita, Smolyaninov, Konstantin, Dandarova, Zhargalma, Magamet, Victoriya, Spiropulos, Natalia, Boldyrev, Sergey, Barbukhatty, Kirill, Buyankov, Dmitrii, Yurin, Vladimir, Gross, Yuriy, Boronin, Maksim, Mikhaleva, Mariya, Shablovskaya, Mariya, Zotov, Alex, Borisov, Daniil, Tereshchenko, Vasily, Zubova, Ekaterina, Kuzmin, A., Tarasenko, Ivan, Gamzaev, Alishir, Borovkova, Natalya, Koroleva, Tatyana, Botova, Svetlana, Pochinka, Ilya, Dunaeva, Vera, Teplitskaya, Victoria, Semenova, Elena I., Korabel'Nikova, Olga V., Simonov, Denis S., Denisenko, Elena, Harina, Natalia, Yarohno, Natalia, Alekseeva, Svetlana, Abydenkova, Julia, Shabalkina, Lyubov, Mayorova, Olga, Tsechanovich, Valeriy, Medvedev, Igor, Lepilin, Michail, Nemchenko, PenzaEvgenii, Karnahin, Vadim, Safina, Vasilya, Slastin, Yaroslav, Gilfanova, Venera, Gorbunov, Roman, Jakubov, Ramis, Fazylova, Aigul, Poteev, Mansur, Vazetdinova, Laysan, Tarasova, Indira, Irgaliyev, Rishat, Moiseeva, Olga, Gordeev, Mikhail, Irtyuga, Olga, Moiseeva, Raisa, Ostanina, Nina, Zverev, Dmitry, Murtazalieva, Patimat, Kuznetsov, Dmitry, Skurativa, Mariya, Polyaeva, Larisa, Mihaiilov, Kirill, Obrenovic-Kircanski, Biljana, Putnik, Svetozar, Simic, Dragan, Petrovic, Milan, Nikolic, Natasa Markovic, Jovovic, Ljiljana, Ostric, Dimitra Kalimanovska, Brajovic, Milan, Manojlovic, Milica Dekleva, Novakovic, Vladimir, Zamaklar-Trifunovic, Danijela, Orbovic, Bojana, Petrovic, Olga, Boricic-Kostic, Marija, Andjelkovic, Kristina, Milanov, Marko, Despotovic-Nikolic, Maja, Budisavljevic, Sreten, Veljkovic, Sanja, Cvetinovic, Nataša, Lepojevic, Daniijela, Todorovic, Aleksandra, Nikolic, Aleksandra, Borzanovic, Branislava, Trkulja, Ljiljana, Tomic, Slobodan, Vukovic, Milan, Milosavljevic, Jelica, Milanovic, Mirjana, Stakic, Vladan, Cvetkovic, Aleksandra, Milutinovic, Suzana, Bozic, Olivera, Miladinovic, Miodrag, Nikolic, Zoran, Despotovic, Dinka, Jovanovic, Dimitrije, Stojsic-Milosavljevic, Anastazija, Ilic, Aleksandra, Sladojevic, Mirjana, Susak, Stamenko, Maletin, Srdjan, Pavlovic, Salvo, Kuzmanovic, Vladimir, Ivanovic, Nikola, Dejanovic, Jovana, Ruzicic, Dusan, Drajic, Dragana, Cvetanovic, Danijel, Mirkovic, Marija, Omoran, Jon, Margoczy, Roman, Sedminova, Katarina, Reptova, Adriana, Baranova, Eva, Valkovicova, Tatiana, Valocik, Gabriel, Kurecko, Marian, Vachalcova, Marianna, Kollarova, Alzbeta, Studencan, Martin, Alusik, Daniel, Kozlej, Marek, Macakova, Jana, Moral, Sergio, Cladellas, Merce, Luiso, Daniele, Calvo, Alicia, Palet, Jordi, Carballo, Juli, Tura, Gisela Teixido, Maldonado, Giuliana, Gutierrez, Laura, Gonzalez-Alujas, Teresa, Jose Fernando, Rodriguez Palomares, Villalva, Nicolas, Molina-Mora, Ma Jose, Paton, Ramon Rubio, Martinez Diaz, Juan Jose, Ruiz, Pablo Ramos, Valle, Alfonso, Rodriguez, Ana, Alania, Edgardo, Galcera, Emilio, Seller, Julia, Valenzuela, Gonzalo de la Morena, Espin, Daniel Saura, Garcia, Dolores Espinosa, Oliva Sandoval, Maria Jose, Gonzalez, Josefa, Navarro, Miguel Garcia, Perez-Martinez, Maria Teresa, Ortega Trujillo, Jose Ramon, Gallego, Irene Menduina, San Roman, Daniel, Perez Nogales, Eliu David, Medina, Olga, Montiel Quintero, Rodolfo Antonio, Bujanda Morun, Pablo Felipe, Perez, Marta Lopez, Huaripata, Jimmy Plasencia, Morales Gonzalez, Juan Jose, Nelson, Veronica Quevedo, Zamorano, Jose Luis, Gomez, Ariana Gonzalez, Fraile, Alfonso, Alberca, Maria Teresa, Martin, Joaquin Alonso, Fernandez-Golfin, Covadonga, Ramos, Javier, Jimenez, Sergio Hernandez, Mitroi, Cristina, Sanchez Fernandez, Pedro L., Diaz-Pelaez, Elena, Garde, Beatriz, Caballero, Luis, Garcia, Fermin Martinez, Cambronero, Francisco, Castro, Noelia, Castro, Antonio, De La Rosa, Alejandro, Gallego, Pastora, Mendez, Irene, Villegas, David Villagomez, Correa, Manuel Gonzalez, Calvo, Roman, Florian, Francisco, Paya, Rafael, Esteban, Esther, Buendia, Francisco, Cubillos, Andrés, Fernandez, Carmen, Cárdenas, Juan Pablo, Pérez-Boscá, José Leandro, Vano, Joan, Belchi, Joaquina, Iglesia-Carreno, Cristina, Iglesias, Francisco Calvo, Escudero-Gonzalez, Aida, Zapateria-Lucea, Sergio, Duarte, Juan Sterling, Perez-Davila, Lara, Cobas-Paz, Rafael, Besada-Montenegro, Rosario, Fontao-Romeo, Maribel, Lopez-Rodriguez, Elena, Paredes-Galan, Emilio, Caneiro-Queija, Berenice, Gonzalez, Alba Guitian, Bozkurt, Abdi, Demir, Serafettin, Unlu, Durmus, Cagliyan, Caglar Emre, Ikikardes, Muslum Firat, Tangalay, Mustafa, Kuloglu, Osman, Ozer, Necla, Canpolat, Ugur, Kemaloglu, Melek Didem, Demirtas, Abdullah Orhan, Akgün, Didar Elif, Avci, Eyup, Taylan, Gokay, Yilmaztepe, Mustafa Adem, Ucar, Fatih Mehmet, Altay, Servet, Gurdogan, Muhammet, Gudul, Naile Eris, Aktas, Mujdat, Buyuklu, Mutlu, Degirmenci, Husnu, Turan, Mehmet Salih, Mert, Kadir Ugur, Mert, Gurbet Ozge, Dural, Muhammet, Arslan, Sukru, Sayar, Nurten, Kanar, Batur, Sadic, Beste Ozben, Sahin, Ahmet Anil, Buyuk, Ahmet, Kilicarslan, Onur, Bostan, Cem, Yildirim, Tarik, Yildirim, Seda Elcim, Cosansu, Kahraman, Varim, Perihan, Ilguz, Ersin, Demirbag, Recep, Yesilay, Asuman, Cirit, Abdullah, Tusun, Eyyup, Erkus, Emre, Sayin, Muhammet Rasit, Kazaz, Zeynep, Kul, Selim, Karabag, Turgut, Kalayci, Belma, Eugène, Marc, and Bax, Jeroen J.

Published
2021
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37. Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study

Author

Li, Shiying, primary, Dragan, Iulian, additional, Tran, Van Du T., additional, Fung, Chun Ho, additional, Kuznetsov, Dmitry, additional, Hansen, Michael K., additional, Beulens, Joline W. J., additional, Hart, Leen M. ‘t, additional, Slieker, Roderick C., additional, Donnelly, Louise A., additional, Gerl, Mathias J., additional, Klose, Christian, additional, Mehl, Florence, additional, Simons, Kai, additional, Elders, Petra J. M., additional, Pearson, Ewan R., additional, Rutter, Guy A., additional, and Ibberson, Mark, additional

Published
2024
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38. A Federated Database for Obesity Research: An IMI-SOPHIA Study

Author

Delfin, Carl, primary, Dragan, Iulian, additional, Kuznetsov, Dmitry, additional, Tajes, Juan Fernandez, additional, Smit, Femke, additional, Coral, Daniel E., additional, Farzaneh, Ali, additional, Haugg, André, additional, Hungele, Andreas, additional, Niknejad, Anne, additional, Hall, Christopher, additional, Jacobs, Daan, additional, Marek, Diana, additional, Fraser, Diane P., additional, Thuillier, Dorothee, additional, Ahmadizar, Fariba, additional, Mehl, Florence, additional, Pattou, Francois, additional, Burdet, Frederic, additional, Hawkes, Gareth, additional, Arts, Ilja C. W., additional, Blanch, Jordi, additional, Van Soest, Johan, additional, Fernández-Real, José-Manuel, additional, Boehl, Juergen, additional, Fink, Katharina, additional, van Greevenbroek, Marleen M. J., additional, Kavousi, Maryam, additional, Minten, Michiel, additional, Prinz, Nicole, additional, Ipsen, Niels, additional, Franks, Paul W., additional, Ramos, Rafael, additional, Holl, Reinhard W., additional, Horban, Scott, additional, Duarte-Salles, Talita, additional, Tran, Van Du T., additional, Raverdy, Violeta, additional, Leal, Yenny, additional, Lenart, Adam, additional, Pearson, Ewan, additional, Sparsø, Thomas, additional, Giordano, Giuseppe N., additional, Ioannidis, Vassilios, additional, Soh, Keng, additional, Frayling, Timothy M., additional, Le Roux, Carel W., additional, and Ibberson, Mark, additional

Published
2024
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40. The Conversion of the Glass Industry: The Transition from Traditional Business Models to New Digital Platforms

Author

Gubernatorov, Alexey M., Gorbatenko, Elena N., Kuznetsova, Alla B., Shmeleva, Lyudmila A., Kuznetsov, Dmitry V., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Popkova, Elena G., editor, and Sergi, Bruno S., editor

Published
2020
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43. Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study

Author

Slieker, Roderick C., Donnelly, Louise A., Fitipaldi, Hugo, Bouland, Gerard A., Giordano, Giuseppe N., Åkerlund, Mikael, Gerl, Mathias J., Ahlqvist, Emma, Ali, Ashfaq, Dragan, Iulian, Festa, Andreas, Hansen, Michael K., Mansour Aly, Dina, Kim, Min, Kuznetsov, Dmitry, Mehl, Florence, Klose, Christian, Simons, Kai, Pavo, Imre, Pullen, Timothy J., Suvitaival, Tommi, Wretlind, Asger, Rossing, Peter, Lyssenko, Valeriya, Legido-Quigley, Cristina, Groop, Leif, Thorens, Bernard, Franks, Paul W., Ibberson, Mark, Rutter, Guy A., Beulens, Joline W. J., ‘t Hart, Leen M., and Pearson, Ewan R.

Published
2021
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44. Response to the Comment by Haack et al. (2015) on the paper by Anfinogenov et al. (2014): John's stone: A possible fragment of the 1908 Tunguska meteorite

Author

Anfinogenova, Yana, Anfinogenov, John, Budaeva, Larisa, and Kuznetsov, Dmitry

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

The article provides an open discussion and a critical feedback to the comments of Haack et al. (2015) and emphasizes a significance of the first macroscopic evidence for a candidate meteorite of a new type: planetary-origin meteorite composed of silica-rich sedimentary rock. Discussion concerns the arguments for (i) candidate parental bodies including the Earth, Mars and icy moons of Saturn and Jupiter; (ii) PGE anomaly versus glassy silicate microspherules and quartz grains anomaly in the area of the 1908 Tunguska catastrophe; (iii) isotopic heterogeneity of unmixed silicate reservoirs on Mars; (iv) possible terrestrial loss or contamination in the noble gas signatures in meteorites that spent time in the extreme weather conditions; (v) cosmogenic isotopes and shielding; and (vi) pseudo meteorites. We conclude that the list of candidate parental bodies for hypothetical sedimentary-origin meteorites includes, but is not limited by the Earth, Mars, Enceladus, Ganymede, and Europa. A parental body should be identified based on the entire body of evidence which is not limited solely by tests of oxygen and noble gas isotopes whose signatures may undergo terrestrial contamination and may exhibit significant heterogeneity within the parental bodies., Comment: 11 pages, 49 references

Published
2016

47. An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

Author

Slieker, Roderick C. (author), Münch, Magnus (author), Donnelly, Louise A. (author), Bouland, G.A. (author), Dragan, Iulian (author), Kuznetsov, Dmitry (author), Elders, Petra J.M. (author), Rutter, Guy A. (author), Ibberson, Mark (author), Slieker, Roderick C. (author), Münch, Magnus (author), Donnelly, Louise A. (author), Bouland, G.A. (author), Dragan, Iulian (author), Kuznetsov, Dmitry (author), Elders, Petra J.M. (author), Rutter, Guy A. (author), and Ibberson, Mark (author)

Abstract

Aims/hypothesis: People with type 2 diabetes are heterogeneous in their disease trajectory, with some progressing more quickly to insulin initiation than others. Although classical biomarkers such as age, HbA1c and diabetes duration are associated with glycaemic progression, it is unclear how well such variables predict insulin initiation or requirement and whether newly identified markers have added predictive value. Methods: In two prospective cohort studies as part of IMI-RHAPSODY, we investigated whether clinical variables and three types of molecular markers (metabolites, lipids, proteins) can predict time to insulin requirement using different machine learning approaches (lasso, ridge, GRridge, random forest). Clinical variables included age, sex, HbA1c, HDL-cholesterol and C-peptide. Models were run with unpenalised clinical variables (i.e. always included in the model without weights) or penalised clinical variables, or without clinical variables. Model development was performed in one cohort and the model was applied in a second cohort. Model performance was evaluated using Harrel’s C statistic. Results: Of the 585 individuals from the Hoorn Diabetes Care System (DCS) cohort, 69 required insulin during follow-up (1.0–11.4 years); of the 571 individuals in the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) cohort, 175 required insulin during follow-up (0.3–11.8 years). Overall, the clinical variables and proteins were selected in the different models most often, followed by the metabolites. The most frequently selected clinical variables were HbA1c (18 of the 36 models, 50%), age (15 models, 41.2%) and C-peptide (15 models, 41.2%). Base models (age, sex, BMI, HbA1c) including only clinical variables performed moderately in both the DCS discovery cohort (C statistic 0.71 [95% CI 0.64, 0.79]) and the GoDARTS replication cohort (C 0.71 [95% CI 0.69, 0.75]). A more extensive model including HD, Pattern Recognition and Bioinformatics

Published
2024
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48. A Federated Database for Obesity Research: An IMI-SOPHIA Study

Author

RWE/Causal inference, Child Health, Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E, Farzaneh, Ali, Haugg, André, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P, Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C W, Blanch, Jordi, Van Soest, Johan, Fernández-Real, José-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M J, Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W, Ramos, Rafael, Holl, Reinhard W, Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T, Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparsø, Thomas, Giordano, Giuseppe N, Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M, Le Roux, Carel W, Ibberson, Mark, RWE/Causal inference, Child Health, Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E, Farzaneh, Ali, Haugg, André, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P, Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C W, Blanch, Jordi, Van Soest, Johan, Fernández-Real, José-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M J, Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W, Ramos, Rafael, Holl, Reinhard W, Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T, Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparsø, Thomas, Giordano, Giuseppe N, Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M, Le Roux, Carel W, and Ibberson, Mark

Published
2024

49. A Federated Database for Obesity Research:An IMI-SOPHIA Study

Author

Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E., Farzaneh, Ali, Haugg, Andre, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P., Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C. W., Blanch, Jordi, Van Soest, Johan, Fernandez-Real, Jose-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M. J., Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W., Ramos, Rafael, Holl, Reinhard W., Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T., Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparso, Thomas, Giordano, Giuseppe N., Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M., Le Roux, Carel W., Ibberson, Mark, Delfin, Carl, Dragan, Iulian, Kuznetsov, Dmitry, Tajes, Juan Fernandez, Smit, Femke, Coral, Daniel E., Farzaneh, Ali, Haugg, Andre, Hungele, Andreas, Niknejad, Anne, Hall, Christopher, Jacobs, Daan, Marek, Diana, Fraser, Diane P., Thuillier, Dorothee, Ahmadizar, Fariba, Mehl, Florence, Pattou, Francois, Burdet, Frederic, Hawkes, Gareth, Arts, Ilja C. W., Blanch, Jordi, Van Soest, Johan, Fernandez-Real, Jose-Manuel, Boehl, Juergen, Fink, Katharina, van Greevenbroek, Marleen M. J., Kavousi, Maryam, Minten, Michiel, Prinz, Nicole, Ipsen, Niels, Franks, Paul W., Ramos, Rafael, Holl, Reinhard W., Horban, Scott, Duarte-Salles, Talita, Tran, Van Du T., Raverdy, Violeta, Leal, Yenny, Lenart, Adam, Pearson, Ewan, Sparso, Thomas, Giordano, Giuseppe N., Ioannidis, Vassilios, Soh, Keng, Frayling, Timothy M., Le Roux, Carel W., and Ibberson, Mark

Abstract

Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a momentum shift aiming to provide better tools for the stratification of people with obesity according to disease risk and treatment response. One of the challenges to achieving these goals is that many clinical cohorts are siloed, limiting the potential of combined data for biomarker discovery. In SOPHIA, we have addressed this challenge by setting up a federated database building on open-source DataSHIELD technology. The database currently federates 16 cohorts that are accessible via a central gateway. The database is multi-modal, including research studies, clinical trials, and routine health data, and is accessed using the R statistical programming environment where statistical and machine learning analyses can be performed at a distance without any disclosure of patient-level data. We demonstrate the use of the database by providing a proof-of-concept analysis, performing a federated linear model of BMI and systolic blood pressure, pooling all data from 16 studies virtually without any analyst seeing individual patient-level data. This analysis provided similar point estimates compared to a meta-analysis of the 16 individual studies. Our approach provides a benchmark for reproducible, safe federated analyses across multiple study types provided by multiple stakeholders.

Published
2024

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