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pro vyhledávání: '"Michaela Unger"'
Autor:
Michaela Unger, Jakob Nikolas Kather
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Histopathology and genomic profiling are cornerstones of precision oncology and are routinely obtained for patients with cancer. Traditionally, histopathology slides are manually reviewed by highly trained pathologists. Genomic data, on the
Externí odkaz:
https://doaj.org/article/193b383549b74f0787831db7467b1712
Autor:
Michaela Unger, Jakob Nikolas Kather
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Background Digitized histopathological tissue slides and genomics profiling data are available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has been broadly used to extract clinically actionable information an
Externí odkaz:
https://doaj.org/article/9677b84dc98e44f1ab34a4bd22c8693d
Autor:
Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti, Zunamys I. Carrero, Jan-Niklas Eckardt, Narmin Ghaffari Laleh, Chiara Maria Lavinia Löffler, Sophie-Caroline Schwarzkopf, Michaela Unger, Gregory P. Veldhuizen, Sophia J. Wagner, Jakob Nikolas Kather
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-8 (2023)
Abstract Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs ca
Externí odkaz:
https://doaj.org/article/2c3a059c5dc84900b754cfcf266eb7fc