Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Jakob N. Kather"'
Autor:
Nic G. Reitsam, Bianca Grosser, David F. Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L’Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S. Muti, Jakob N. Kather, Bruno Märkl
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract Background Tumor-Adipose-Feature (TAF) as well as SARIFA (Stroma AReactive Invasion Front Areas) are two histologic features/biomarkers linking tumor-associated adipocytes to poor outcomes in colorectal cancer (CRC) patients. Whereas TAF was
Externí odkaz:
https://doaj.org/article/b0fe529a371d4beb95642cb9bd704ab1
Autor:
Divya Choudhury, James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard, Jayson R. Margalus, Amelia Schroeder, Jefree Schulte, Marina C. Garassino, Jakob N. Kather, Alexander T. Pearson
Publikováno v:
EBioMedicine, Vol 107, Iss , Pp 105276- (2024)
Summary: Background: Deployment and access to state-of-the-art precision medicine technologies remains a fundamental challenge in providing equitable global cancer care in low-resource settings. The expansion of digital pathology in recent years and
Externí odkaz:
https://doaj.org/article/8abddce9a56d4c5aa460bd06647693f0
Autor:
Daniel Truhn, Christian D. Weber, Benedikt J. Braun, Keno Bressem, Jakob N. Kather, Christiane Kuhl, Sven Nebelung
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Large language models (LLMs) have shown potential in various applications, including clinical practice. However, their accuracy and utility in providing treatment recommendations for orthopedic conditions remain to be investigated. Thus, thi
Externí odkaz:
https://doaj.org/article/a36d3ce780e443e59c305d5c6f3b25a3
Autor:
Daniel Truhn, Christian D. Weber, Benedikt J. Braun, Keno Bressem, Jakob N. Kather, Christiane Kuhl, Sven Nebelung
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/d9fb4563bc754af3b14abaec82c14e4a
Autor:
Frederick M. Howard, James Dolezal, Sara Kochanny, Jefree Schulte, Heather Chen, Lara Heij, Dezheng Huo, Rita Nanda, Olufunmilayo I. Olopade, Jakob N. Kather, Nicole Cipriani, Robert L. Grossman, Alexander T. Pearson
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Deep learning models have been trained on The Cancer Genome Atlas to predict numerous features directly from histology, including survival, gene expression patterns, and driver mutations. Here, the authors demonstrate that site-specific histologic si
Externí odkaz:
https://doaj.org/article/63d9acc99eb6472c87b682f300c925c8
Autor:
Marc-Andre Schulz, B. T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Schulz et al. systematically benchmark performance scaling with increasingly sophisticated prediction algorithms and with increasing sample size in reference machine-learning and biomedical datasets. Complicated nonlinear intervariable relationships
Externí odkaz:
https://doaj.org/article/b1ee0d1de11c40d8869725556c90d89f
Autor:
Alec J. Kacew, Garth W. Strohbehn, Loren Saulsberry, Neda Laiteerapong, Nicole A. Cipriani, Jakob N. Kather, Alexander T. Pearson
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Rising cancer care costs impose financial burdens on health systems. Applying artificial intelligence to diagnostic algorithms may reduce testing costs and avoid wasteful therapy-related expenditures. To evaluate the financial and clinical impact of
Externí odkaz:
https://doaj.org/article/f031b3c7ba4c4ed4b26196837b0579a8
Autor:
Elke Burgermeister, Francesca Battaglin, Fagr Eladly, Wen Wu, Frank Herweck, Nadine Schulte, Johannes Betge, Nicolai Härtel, Jakob N. Kather, Cleo-Aron Weis, Timo Gaiser, Alexander Marx, Christel Weiss, Ralf Hofheinz, Ian S. Miller, Fotios Loupakis, Heinz-Josef Lenz, Annette T. Byrne, Matthias P. Ebert
Publikováno v:
EBioMedicine, Vol 45, Iss , Pp 139-154 (2019)
Background: The identification of new biomarkers and the development of novel, targetable contexts of vulnerability are of urgent clinical need in drug-resistant metastatic colorectal cancer (mCRC). Aryl-Hydrocarbon-Receptor-Nuclear-Translocator-Like
Externí odkaz:
https://doaj.org/article/2ff1d7938a28429f92e4c41c05c76025
Autor:
Sven H. Loosen, Joao Gorgulho, Markus S. Jördens, Maximilian Schulze-Hagen, Fabian Beier, Mihael Vucur, Anne T. Schneider, Christiane Koppe, Alexander Mertens, Jakob N. Kather, Frank Tacke, Verena Keitel, Tim H. Brümmendorf, Christoph Roderburg, Tom Luedde
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundImmune checkpoint inhibitors (ICIs) have led to a paradigm shift in cancer therapy, improving outcomes in the treatment of various malignancies. However, not all patients benefit to the same extend from ICI. Reliable tools to predict treatm
Externí odkaz:
https://doaj.org/article/c0e3be5d1a344bed89728210c650e893
Autor:
Achim Hekler, Jakob N. Kather, Eva Krieghoff-Henning, Jochen S. Utikal, Friedegund Meier, Frank F. Gellrich, Julius Upmeier zu Belzen, Lars French, Justin G. Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Carola Berking, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Benjamin Izar, Roman Maron, Max Schmitt, Stefan Fröhling, Daniel B. Lipka, Titus J. Brinker
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Recent studies have shown that deep learning is capable of classifying dermatoscopic images at least as well as dermatologists. However, many studies in skin cancer classification utilize non-biopsy-verified training images. This imperfect ground tru
Externí odkaz:
https://doaj.org/article/7c8a3d919b4d4e7da94887fa5381fe8d