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Unsupervised generative and graph representation learning for modelling cell differentiation.
Using machine learning techniques to build representations from biomedical data can help us understand the latent biological mechanism of action and lead to important discoveries. Recent developments in single-cell...
Unsupervised generative and graph representation learning for modelling cell differentiation
Abstract: Using machine learning techniques to build representations from biomedical data can help us understand the latent biological mechanism of action and lead to important discoveries. Recent developments in single-cell...
Unsupervised generative and graph representation learning for modelling cell differentiation
Abstract: Using machine learning techniques to build representations from biomedical data can help us understand the latent biological mechanism of action and lead to important discoveries. Recent developments in single-cell...
Ethnic and regional variations in hospital mortality from COVID-19 in Brazil
BACKGROUND: Brazil ranks second worldwide in total number of COVID-19 cases and deaths. Understanding the possible socioeconomic and ethnic health inequities is particularly important given the diverse population and fragile...
Comparing COVID-19 risk factors in Brazil using machine learning
Pedro Baqui, Valerio Marra, Ahmed M. Alaa, Ioana Bica, Ari Ercole, Mihaela van der Schaar
Aug 02, 2021
Abstract: The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil’s social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This complex scenario...
Atomistic Simulations of Methylammonium Lead Halide Layers on PbTiO<sub>3</sub> (001) Surfaces
Neculai Plugaru, George Alexandru Nemnes, Lucian Filip, Ioana Pintilie, Lucian Pintilie, Keith Tobias Butler, Andrei Manolescu
May 04, 2017
The substantial increase in the power conversion efficiency of hybrid perovskite solar cells, to date reaching more than 20% in the laboratory, has strongly motivated research on this class of organic-inorganic materials and...
/dk/atira/pure/subjectarea/asjc/2500/2504 name=Electronic, Optical and Magnetic Materials /dk/atira/pure/subjectarea/asjc/2100/2100 name=General Energy /dk/atira/pure/subjectarea/asjc/2500/2508 name=Surfaces, Coatings and Films /dk/atira/pure/subjectarea/asjc/1600/1606 name=Physical and Theoretical Chemistry
Comparing COVID-19 risk factors in Brazil using machine learning
Pedro Baqui, Valerio Marra, Ahmed M Alaa, Ioana Bica, Ari Ercole, Mihaela van der Schaar
Jun 25, 2021
The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil's social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This complex scenario motivates...
Developments in toxicogenomics
Benjamin Alexander-Dann, Lavinia Lorena Pruteanu, Erin Oerton, Nitin Sharma, Ioana Berindan-Neagoe, Dezső Módos, Andreas Bender
Sep 05, 2018
Comparing COVID-19 risk factors in Brazil using machine learning
Pedro Baqui, Valerio Marra, Ahmed M Alaa, Ioana Bica, Ari Ercole, Mihaela van der Schaar
Sep 08, 2021
The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil's social, health and economic crises are aggravated by strong societal inequities and persisting political disarray. This complex scenario motivates...
Humans Hospitalization Hospital Mortality Models Biological Socioeconomic Factors Brazil Female Male Pandemics Machine Learning covid-19 SARS-CoV-2
Published by: Scientific reports
Cumulative Risk Exposure and Social Isolation as Correlates of Carer and Child Mental Health During the COVID-19 Pandemic
Ana Isabel Pereira, Peter Muris, Magda Sofia Roberto, Paul Stallard, Luis Joaquin Garcia-Lopez, Bogdan Tudor Tulbure, Ioana Podina, Ellin Simon, Marlene Sousa, Luísa Barros
Feb 28, 2023
This study adopted a cumulative risk approach to examine the relations between various domains of risk factors (i.e., social isolation and home confinement, other pandemic-related risk factors, and pre-existing psychosocial...
children adolescents and carers covid-19 Mental Health Pre-existing psychosocial risks Social isolation and home confinement /dk/atira/pure/subjectarea/asjc/2700/2735 name=Pediatrics, Perinatology, and Child Health /dk/atira/pure/subjectarea/asjc/3200/3204 name=Developmental and Educational Psychology /dk/atira/pure/subjectarea/asjc/2700/2738 name=Psychiatry and Mental health /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being name=SDG 3 - Good Health and Well-being
Factors Influencing the Behavioural Intention to Use AI-Generated Images in Business
Radu Lixandroiu, Catalin Maican, Silvia Sumedrea, Alina Tecau, Eliza Nichifor, Ioana Chitu, Gabriel Bratucu
Jan 01, 2023
Motivated by the need to better understand the ongoing role of artificial intelligence in businesses and to shift the focus from a purely technological and algorithmic perspective to one that encompasses human-computer...
Published by: IGI Global Scientific Publishing
Atomistic Simulations of Methylammonium Lead Halide Layers on PbTiO<sub>3</sub> (001) Surfaces
Neculai Plugaru, George Alexandru Nemnes, Lucian Filip, Ioana Pintilie, Lucian Pintilie, Keith Tobias Butler, Andrei Manolescu
May 04, 2017
The substantial increase in the power conversion efficiency of hybrid perovskite solar cells, to date reaching more than 20% in the laboratory, has strongly motivated research on this class of organic-inorganic materials and...
/dk/atira/pure/subjectarea/asjc/2500/2504 name=Electronic, Optical and Magnetic Materials /dk/atira/pure/subjectarea/asjc/2100/2100 name=General Energy /dk/atira/pure/subjectarea/asjc/2500/2508 name=Surfaces, Coatings and Films /dk/atira/pure/subjectarea/asjc/1600/1606 name=Physical and Theoretical Chemistry
Constructing Seamless Learning Through Game-Based Learning Experiences
Ioana Stefan, Ancuta Gheorghe, Antoniu Stefan, Andriani Piki, Hariklia Tsalapata, Olivier Heidmann
Oct 01, 2022
The goal of this paper is to explore how game-based experiences can be leveraged through mobile technology to activate learner engagement and achieve a seamless connection between formal and informal learning. The paper presents...
Published by: IGI Global Scientific Publishing
Colloidal liquid crystals in rectangular confinement
Alexander Lewis, Ioana Garlea, José Alvarado, Oliver Dammone, Peter Howell, A Majumdar, Bela Mulder, M. P. Lettinga, Gijsje Koenderink, Dirk Aarts
Oct 21, 2014
We theoretically and experimentally study nematic liquid crystal equilibria within shallow rectangular wells. We model the wells within a two-dimensional Oseen–Frank framework, with strong tangent anchoring, and obtain explicit...
Accumulated Metabolites of Hydroxybutyric Acid Serve as Diagnostic and Prognostic Biomarkers of Ovarian High-Grade Serous Carcinomas.
Mika Hilvo, Ines de Santiago, Peddinti Gopalacharyulu, Wolfgang D Schmitt, Jan Budczies, Marc Kuhberg, Manfred Dietel, Tero Aittokallio, Florian Markowetz, Carsten Denkert, Jalid Sehouli, Christian Frezza, Silvia Darb-Esfahani, Elena Ioana Braicu
Dec 01, 2017
Ovarian cancer is a heterogeneous disease of low prevalence, but poor survival. Early diagnosis is critical for survival, but it is often challenging because the symptoms of ovarian cancer are subtle and become apparent only...
High-grade ovarian serous carcinoma patients exhibit profound alterations in lipid metabolism.
Elena Ioana Braicu, Silvia Darb-Esfahani, Wolfgang D Schmitt, Kaisa M Koistinen, Laura Heiskanen, Päivi Pöhö, Jan Budczies, Marc Kuhberg, Manfred Dietel, Christian Frezza, Carsten Denkert, Jalid Sehouli, Mika Hilvo
May 31, 2018
Ovarian cancer is a very severe type of disease with poor prognosis. Treatment of ovarian cancer is challenging because of the lack of tests for early detection and effective therapeutic targets. Thus, new biomarkers are needed...
Experimental electron density and neutron diffraction studies on the polymorphs of sulfathiazole
Ioana Sovago, Matthias J. Gutmann, J. Grant Hill, Hans Martin Senn, Lynne H. Thomas, Chick C. Wilson, Louis J. Farrugia
Mar 05, 2014
High resolution X-ray diffraction data on forms I-IV of sulfathiazole and neutron diffraction data on forms II-IV have been collected at 100 K and analyzed using the Atoms in Molecules topological approach. The molecular thermal...
Cumulative Risk Exposure and Social Isolation as Correlates of Carer and Child Mental Health During the COVID-19 Pandemic
Ana Isabel Pereira, Peter Muris, Magda Sofia Roberto, Paul Stallard, Luis Joaquin Garcia-Lopez, Bogdan Tudor Tulbure, Ioana Podina, Ellin Simon, Marlene Sousa, Luísa Barros
Feb 28, 2023
This study adopted a cumulative risk approach to examine the relations between various domains of risk factors (i.e., social isolation and home confinement, other pandemic-related risk factors, and pre-existing psychosocial...
children adolescents and carers covid-19 Mental Health Pre-existing psychosocial risks Social isolation and home confinement /dk/atira/pure/subjectarea/asjc/2700/2735 name=Pediatrics, Perinatology, and Child Health /dk/atira/pure/subjectarea/asjc/3200/3204 name=Developmental and Educational Psychology /dk/atira/pure/subjectarea/asjc/2700/2738 name=Psychiatry and Mental health /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being name=SDG 3 - Good Health and Well-being
Colloidal liquid crystals in rectangular confinement
Alexander Lewis, Ioana Garlea, José Alvarado, Oliver Dammone, Peter Howell, A Majumdar, Bela Mulder, M. P. Lettinga, Gijsje Koenderink, Dirk Aarts
Oct 21, 2014
We theoretically and experimentally study nematic liquid crystal equilibria within shallow rectangular wells. We model the wells within a two-dimensional Oseen–Frank framework, with strong tangent anchoring, and obtain explicit...
Experimental electron density and neutron diffraction studies on the polymorphs of sulfathiazole
Ioana Sovago, Matthias J. Gutmann, J. Grant Hill, Hans Martin Senn, Lynne H. Thomas, Chick C. Wilson, Louis J. Farrugia
Mar 05, 2014
High resolution X-ray diffraction data on forms I-IV of sulfathiazole and neutron diffraction data on forms II-IV have been collected at 100 K and analyzed using the Atoms in Molecules topological approach. The molecular thermal...
Senescence-induced endothelial phenotypes underpin immune-mediated senescence surveillance.
Kelvin Yin, Daniel Patten, Sarah Gough, Susana de Barros Gonçalves, Adelyne Chan, Ioana Olan, Liam Cassidy, Marta Poblocka, Haoran Zhu, Aaron Lun, Martijn Schuijs, Andrew Young, Celia Martinez-Jimenez, Timotheus YF Halim, Shishir Shetty, Masashi Narita, Matthew Hoare
Jun 29, 2022
What Is Resistance? Impact of Phenotypic versus Molecular Drug Resistance Testing on Therapy for Multi- and Extensively Drug-Resistant Tuberculosis.
Jan Heyckendorf, Sönke Andres, Claudio U Köser, Ioana D Olaru, Thomas Schön, Erik Sturegård, Patrick Beckert, Viola Schleusener, Thomas A Kohl, Doris Hillemann, Danesh Moradigaravand, Julian Parkhill, Sharon J Peacock, Stefan Niemann, Christoph Lange, Matthias Merker
Feb 02, 2018
Rapid and accurate drug susceptibility testing (DST) is essential for the treatment of multi- and extensively drug-resistant tuberculosis (M/XDR-TB). We compared the utility of genotypic DST assays with phenotypic DST (pDST)...
Mycobacterium tuberculosis antibiotic resistance Molecular genetics Antitubercular Agents Bacterial Typing Techniques Cohort Studies Drug Resistance Multiple Bacterial Extensively Drug-Resistant Tuberculosis Genome Bacterial Genotype Humans Kanamycin Levofloxacin Microbial Sensitivity Tests Moxifloxacin Mycobacterium tuberculosis Phenotype Rifampin Tuberculosis Multidrug-Resistant whole genome sequencing
Reply to Dookie et al., "Whole-Genome Sequencing To Guide the Selection of Treatment for Drug-Resistant Tuberculosis".
Claudio U Köser, Jan Heyckendorf, Sönke Andres, Ioana D Olaru, Thomas Schön, Erik Sturegård, Patrick Beckert, Viola Schleusener, Thomas A Kohl, Doris Hillemann, Danesh Moradigaravand, Julian Parkhill, Sharon J Peacock, Stefan Niemann, Christoph Lange, Matthias Merker
Sep 17, 2018
We would like to thank Dr. Navisha Dookie and colleagues for their comment and for sharing their view on genotypic drug-susceptibility testing (DST) to predict phenotypic drug-susceptibility for the management of patients with...
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