Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Julian, Sass"'
Autor:
Claire E Otero, Richard Barfield, Elizabeth Scheef, Cody S Nelson, Nicole Rodgers, Hsuan-Yuan Wang, Matilda J Moström, Tabitha D Manuel, Julian Sass, Kimberli Schmidt, Husam Taher, Courtney Papen, Lesli Sprehe, Savannah Kendall, Angel Davalos, Peter A Barry, Klaus Früh, Justin Pollara, Daniel Malouli, Cliburn Chan, Amitinder Kaur, Sallie R Permar
Publikováno v:
PLoS Pathogens, Vol 19, Iss 10, p e1011378 (2023)
Cytomegalovirus (CMV) is the most common congenital infection and cause of birth defects worldwide. Primary CMV infection during pregnancy leads to a higher frequency of congenital CMV (cCMV) than maternal re-infection, suggesting that maternal immun
Externí odkaz:
https://doaj.org/article/c5d4db2c414e4452a4d70b4bd935fc85
Autor:
Gregor Lichtner, Thomas Haese, Sally Brose, Larissa Röhrig, Liudmila Lysyakova, Stefanie Rudolph, Maria Uebe, Julian Sass, Alexander Bartschke, David Hillus, Florian Kurth, Leif Erik Sander, Falk Eckart, Nicole Toepfner, Reinhard Berner, Anna Frey, Marcus Dörr, Jörg Janne Vehreschild, Christof von Kalle, Sylvia Thun
Publikováno v:
JMIR Medical Informatics, Vol 11, p e45496 (2023)
BackgroundThe COVID-19 pandemic has spurred large-scale, interinstitutional research efforts. To enable these efforts, researchers must agree on data set definitions that not only cover all elements relevant to the respective medical specialty but al
Externí odkaz:
https://doaj.org/article/3b738d986e2844bebcde78d4345b7a13
Autor:
Julian Sass, Alexander Bartschke, Moritz Lehne, Andrea Essenwanger, Eugenia Rinaldi, Stefanie Rudolph, Kai U. Heitmann, Jörg J. Vehreschild, Christof von Kalle, Sylvia Thun
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing fragmentation of information. To ensure comparability across
Externí odkaz:
https://doaj.org/article/f9f0b674409d4987b8e239b7fe118b41
Autor:
Caroline Stellmach, Julian Sass, Bernd Auber, Martin Boeker, Thomas Wienker, Andrew J Heidel, Manuela Benary, Simon Schumacher, Stephan Ossowski, Frederick Klauschen, Yvonne Möller, Rita Schmutzler, Arsenij Ustjanzew, Patrick Werner, Aurelie Tomczak, Thimo Hölter, Sylvia Thun
Publikováno v:
Journal of the American Medical Informatics Association
Objective The objective was to develop a dataset definition, information model, and FHIR® specification for key data elements contained in a German molecular genomics (MolGen) report to facilitate genomic and phenotype integration in electronic heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ae3b0b0491672d8b97d091f4ff541d
https://hdl.handle.net/21.11116/0000-000D-2B80-221.11116/0000-000D-2B7E-7
https://hdl.handle.net/21.11116/0000-000D-2B80-221.11116/0000-000D-2B7E-7
Autor:
Gregor Lichtner, Thomas Haese, Sally Brose, Larissa Röhrig, Liudmila Lysyakova, Stefanie Rudolph, Maria Uebe, Julian Sass, Alexander Bartschke, David Hillus, Florian Kurth, Leif Erik Sander, Falk Eckart, Nicole Toepfner, Reinhard Berner, Anna Frey, Marcus Dörr, Jörg Janne Vehreschild, Christof von Kalle, Sylvia Thun
Publikováno v:
JMIR Medical Informatics.
Autor:
Julian Sass, Achal Awasthi, Veronica Obregon-Perko, Janice McCarthy, Alun L. Lloyd, Ann Chahroudi, Sallie Permar, Cliburn Chan
Publikováno v:
Mathematical biosciences.
The dynamics of HIV viral load following the initiation of antiretroviral therapy is not well-described by simple, single-phase exponential decay. Several mathematical models have been proposed to describe its more complex behavior, the most popular
Autor:
Carina Nina, Vorisek, Eduardo Alonso, Essenwanger, Sophie Anne Ines, Klopfenstein, Julian, Sass, Jörg, Henke, Carsten Oliver, Schmidt, Sylvia, Thun
Publikováno v:
Studies in health technology and informatics. 294
SNOMED CT fosters interoperability in healthcare and research. This use case implemented SNOMED CT for browsing COVID-19 questionnaires in the open-software solutions OPAL/MICA. We implemented a test server requiring files in a given YAML format for
Autor:
Hans-Ulrich, Prokosch, Thomas, Bahls, Martin, Bialke, Jürgen, Eils, Christian, Fegeler, Julian, Gruendner, Birger, Haarbrandt, Christopher, Hampf, Wolfgang, Hoffmann, Hauke, Hund, Marvin, Kampf, Lorenz A, Kapsner, Piotr, Kasprzak, Oliver, Kohlbacher, Dagmar, Krefting, Jonathan M, Mang, Michael, Marschollek, Sebastian, Mate, Armin, Müller, Fabian, Prasser, Julian, Sass, Sebastian, Semler, Holger, Stenzhorn, Sylvia, Thun, Sven, Zenker, Roland, Eils
Publikováno v:
Studies in health technology and informatics. 294
COVID-19 has challenged the healthcare systems worldwide. To quickly identify successful diagnostic and therapeutic approaches large data sharing approaches are inevitable. Though organizational clinical data are abundant, many of them are available
SNOMED CT fosters interoperability in healthcare and research. This use case implemented SNOMED CT for browsing COVID-19 questionnaires in the open-software solutions OPAL/MICA. We implemented a test server requiring files in a given YAML format for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7b328130925488ba911342ce15c8be4
https://doi.org/10.3233/shti220549
https://doi.org/10.3233/shti220549