Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Stephanie Taha-Mehlitz"'
Autor:
Adisa Poljo, Jennifer M. Klasen, Marco von Strauss und Torney, Alberto Posabella, Stephanie Taha-Mehlitz, Barbara Hummer, Beatrice Kern
Publikováno v:
BMC Endocrine Disorders, Vol 24, Iss 1, Pp 1-5 (2024)
Abstract Background Teratomas are germ cell tumors composed of somatic tissues from up to three germ layers. Primary retroperitoneal teratomas usually develop during childhood and are uncommon in adults and in the retroperitoneal space. While there a
Externí odkaz:
https://doaj.org/article/044cac221ad046d0b19fd5f4288c3fa0
Autor:
Anas Taha, Stephanie Taha-Mehlitz, Laura Bach, Vincent Ochs, Ovunc Bardakcioglu, Michael D. Honaker, Philippe C. Cattin
Publikováno v:
Computer Assisted Surgery, Vol 28, Iss 1 (2023)
AbstractThe primary goal of this study is to assess current patient information available on the internet concerning robotic colorectal surgery. Acquiring this information will aid in patients understanding of robotic colorectal surgery. Data was acq
Externí odkaz:
https://doaj.org/article/50aebaa131224dc4bf7150091af35b05
Autor:
Anas Taha, Stephanie Taha-Mehlitz, Niklas Ortlieb, Vincent Ochs, Michael Drew Honaker, Robert Rosenberg, Johan F. Lock, Martin Bolli, Philippe C. Cattin
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
BackgroundMachine learning (ML) is an inquiry domain that aims to establish methodologies that leverage information to enhance performance of various applications. In the healthcare domain, the ML concept has gained prominence over the years. As a re
Externí odkaz:
https://doaj.org/article/9387cf2570df494f935396a7c278988e
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/41939c0049b5481e991b7e760fe59fd4
Autor:
Gaia Bianco, Mairene Coto-Llerena, John Gallon, Venkatesh Kancherla, Stephanie Taha-Mehlitz, Mattia Marinucci, Martina Konantz, Sumana Srivatsa, Hesam Montazeri, Federica Panebianco, Vijaya G. Tirunagaru, Marta De Menna, Viola Paradiso, Caner Ercan, Ahmed Dahmani, Elodie Montaudon, Niko Beerenwinkel, Marianna Kruithof-de Julio, Luigi M. Terracciano, Claudia Lengerke, Rinath M. Jeselsohn, Robert C. Doebele, François-Clément Bidard, Elisabetta Marangoni, Charlotte K. Y. Ng, Salvatore Piscuoglio
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
GATA3 mutations are common in ER-positive breast cancers yet are not targetable. This study describes pharmacological inhibition of MDM2 as a novel approach to target GATA3 deficiency, providing a molecularly guided treatment for this patient subclas
Externí odkaz:
https://doaj.org/article/9071cb3253ff484fad39debd9d0d2d7d
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
BackgroundMachine learning (ML), is an approach to data analysis that makes the process of analytical model building automatic. The significance of ML stems from its potential to evaluate big data and achieve quicker and more accurate outcomes. ML ha
Externí odkaz:
https://doaj.org/article/45ad761dc61b40d29b28ef9a6f73cec8
Autor:
Caner Ercan, Mairene Coto-Llerena, John Gallon, Lana Fourie, Mattia Marinucci, Gabriel F. Hess, Jürg Vosbeck, Stephanie Taha-Mehlitz, Tuyana Boldanova, Marie-Anne Meier, Alexandar Tzankov, Matthias S. Matter, Martin H. K. Hoffmann, Luca Di Tommaso, Markus von Flüe, Charlotte K. Y. Ng, Markus H. Heim, Savas D. Soysal, Luigi M. Terracciano, Otto Kollmar, Salvatore Piscuoglio
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-8 (2022)
Plain language summary Focal nodular hyperplasia (FNH) is a lesion resulting from the abnormal growth of liver cells. It is typically considered a benign tumor that does not become malignant. In rare cases, FNH may occur alongside malignant hepatocel
Externí odkaz:
https://doaj.org/article/49161dc05fb841fc951e15d1ae5a8794
Autor:
Anas Taha, Stephanie Taha-Mehlitz, Vincent Ochs, Bassey Enodien, Michael D. Honaker, Daniel M. Frey, Philippe C. Cattin
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
Hospitals are burdened with predicting, calculating, and managing various cost-affecting parameters regarding patients and their treatments. Accuracy in cost prediction is further affected when a patient suffers from other health issues that hinder t
Externí odkaz:
https://doaj.org/article/7907edf61b1e4ca087fce08948faff9f
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
BackgroundMachine learning reflects an artificial intelligence that allows applications to improve their accuracy to predict outcomes, eliminating the need to conduct explicit programming on them. The medical field has increased its focus on establis
Externí odkaz:
https://doaj.org/article/f35cbc3709ef42b0892c376798994b3e
Autor:
Mairene Coto‐Llerena, Nadia Tosti, Stephanie Taha‐Mehlitz, Venkatesh Kancherla, Viola Paradiso, John Gallon, Gaia Bianco, Andrea Garofoli, Souvik Ghosh, Fengyuan Tang, Caner Ercan, Gerhard M. Christofori, Matthias S. Matter, Raoul A. Droeser, Mihaela Zavolan, Savas D. Soysal, Markus vonFlüe, Otto Kollmar, Luigi M. Terracciano, Charlotte K. Y. Ng, Salvatore Piscuoglio
Publikováno v:
Hepatology Communications, Vol 5, Iss 4, Pp 661-674 (2021)
Transcriptional enhancer factor domain family member 4 (TEAD4) is a downstream effector of the conserved Hippo signaling pathway, regulating the expression of genes involved in cell proliferation and differentiation. It is up‐regulated in several c
Externí odkaz:
https://doaj.org/article/ad421c0d13494136915e7f00b44e48ef