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Sven Wellmann

Showing results (31-40 of 118) with videos related to

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Frontiers in Pediatrics|May 17, 2021
Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric AppendicitisRicards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, et al.
American Journal of Translational Research|February 17, 2022
Lung-borne systemic inflammation in mechanically ventilated infant rats due to high PEEP, oxygen, and hypocapniaPhilipp Baumann, Francesco Greco, Pietro L'Abate, et al.
Pediatric Research|July 29, 2022
Mesenchymal stem cell therapy in perinatal arterial ischemic stroke: systematic review of preclinical studiesVerena Lehnerer, Anna Roidl, Olga Romantsik, et al.
Children (Basel, Switzerland)|March 28, 2024
Neurofilament Light Chain Concentration in Cerebrospinal Fluid in Children with Acute Nontraumatic Neurological DisordersTobias Geis, Svena Gutzeit, Sigrid Disse, et al.
Frontiers in Pediatrics|October 25, 2023
Validating the early phototherapy prediction tool across cohortsImant Daunhawer, Kai Schumacher, Anna Badura, et al.
Pediatric Research|February 24, 2024
Vasoactive peptides as biomarkers for the prediction of retinopathy of prematurityRoland P Neumann, Roland Gerull, Pascal W Hasler, et al.
Swiss Medical Weekly|August 13, 2024
Incidence of neonatal respiratory morbidity after vaginal and caesarean delivery in the late-preterm and term period - a retrospective cohort studyJulia Gromann, Isabella Mancino, Gwendolin Manegold-Brauer, et al.
Clinical Pharmacology and Therapeutics|January 14, 2020
Pharmacometrics and Machine Learning Partner to Advance Clinical Data AnalysisGilbert Koch, Marc Pfister, Imant Daunhawer, et al.
American Journal of Obstetrics and Gynecology|October 24, 2012
Copeptin: a marker for stress reaction in fetuses with intrauterine growth restrictionTilo Burkhardt, Sarah Schwabe, Nils G Morgenthaler, et al.
Frontiers in Digital Health|March 5, 2025
Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates-results from a prospective multi-center studyBritta Steffens, Gilbert Koch, Corinna Engel, et al.
Pageof 12

Showing results (31-40 of 118) with videos related to

Sort By:
Pageof 12
Frontiers in Pediatrics|May 17, 2021
Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric AppendicitisRicards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, et al.
American Journal of Translational Research|February 17, 2022
Lung-borne systemic inflammation in mechanically ventilated infant rats due to high PEEP, oxygen, and hypocapniaPhilipp Baumann, Francesco Greco, Pietro L'Abate, et al.
Pediatric Research|July 29, 2022
Mesenchymal stem cell therapy in perinatal arterial ischemic stroke: systematic review of preclinical studiesVerena Lehnerer, Anna Roidl, Olga Romantsik, et al.
Children (Basel, Switzerland)|March 28, 2024
Neurofilament Light Chain Concentration in Cerebrospinal Fluid in Children with Acute Nontraumatic Neurological DisordersTobias Geis, Svena Gutzeit, Sigrid Disse, et al.
Frontiers in Pediatrics|October 25, 2023
Validating the early phototherapy prediction tool across cohortsImant Daunhawer, Kai Schumacher, Anna Badura, et al.
Pediatric Research|February 24, 2024
Vasoactive peptides as biomarkers for the prediction of retinopathy of prematurityRoland P Neumann, Roland Gerull, Pascal W Hasler, et al.
Swiss Medical Weekly|August 13, 2024
Incidence of neonatal respiratory morbidity after vaginal and caesarean delivery in the late-preterm and term period - a retrospective cohort studyJulia Gromann, Isabella Mancino, Gwendolin Manegold-Brauer, et al.
Clinical Pharmacology and Therapeutics|January 14, 2020
Pharmacometrics and Machine Learning Partner to Advance Clinical Data AnalysisGilbert Koch, Marc Pfister, Imant Daunhawer, et al.
American Journal of Obstetrics and Gynecology|October 24, 2012
Copeptin: a marker for stress reaction in fetuses with intrauterine growth restrictionTilo Burkhardt, Sarah Schwabe, Nils G Morgenthaler, et al.
Frontiers in Digital Health|March 5, 2025
Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates-results from a prospective multi-center studyBritta Steffens, Gilbert Koch, Corinna Engel, et al.
Pageof 12