Výsledky vyhledávání

Akademický článek

Privacy-preserving large language models for structured medical information retrieval

Autor: Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024)

Abstract Most clinical information is encoded as free text, not accessible for quantitative analysis. This study presents an open-source pipeline using the local large language model (LLM) “Llama 2” to extract quantitative information from clinic

Externí odkaz: https://doaj.org/article/068167ddc4594bca801ff425467312af

Zobrazit plný text záznamu

Akademický článek

Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

Autor: Marco Gustav, Nic Gabriel Reitsam, Zunamys I. Carrero, Chiara M. L. Loeffler, Marko van Treeck, Tanwei Yuan, Nicholas P. West, Philip Quirke, Titus J. Brinker, Hermann Brenner, Loëtitia Favre, Bruno Märkl, Albrecht Stenzinger, Alexander Brobeil, Michael Hoffmeister, Julien Calderaro, Anaïs Pujals, Jakob Nikolas Kather

Publikováno v: npj Precision Oncology, Vol 8, Iss 1, Pp 1-11 (2024)

Abstract In the spectrum of colorectal tumors, microsatellite-stable (MSS) tumors with DNA polymerase ε (POLE) mutations exhibit a hypermutated profile, holding the potential to respond to immunotherapy similarly to their microsatellite-instable (MS

Externí odkaz: https://doaj.org/article/43aa367ce4a841f587e2ab532d5c55a4

Zobrazit plný text záznamu

Akademický článek

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Autor: Omar S. M. El Nahhas, Chiara M. L. Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine J. Hewitt, Hannah S. Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)

Abstract Deep Learning (DL) can predict biomarkers from cancer histopathology. Several clinically approved applications use this technology. Most approaches, however, predict categorical labels, whereas biomarkers are often continuous measurements. W

Externí odkaz: https://doaj.org/article/0696d137231f4079b4d6924a37f1e5c8

Zobrazit plný text záznamu

Akademický článek

Multi-omic and functional analysis for classification and treatment of sarcomas with FUS-TFCP2 or EWSR1-TFCP2 fusions

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)

Abstract Linking clinical multi-omics with mechanistic studies may improve the understanding of rare cancers. We leverage two precision oncology programs to investigate rhabdomyosarcoma with FUS/EWSR1-TFCP2 fusions, an orphan malignancy without effec

Externí odkaz: https://doaj.org/article/2ecd072ff8db496d9a6745bf800ae284

Zobrazit plný text záznamu

Akademický článek

The future landscape of large language models in medicine

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

Zobrazit plný text záznamu

Akademický článek

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)

Externí odkaz: https://doaj.org/article/9b93b1e49d224781887ac4c0c5dc644d

Zobrazit plný text záznamu

Akademický článek

β-TrCP- and Casein Kinase II-Mediated Degradation of Cyclin F Controls Timely Mitotic Progression

Autor: Ioanna Mavrommati, Roberta Faedda, Giovanni Galasso, Jie Li, Kamila Burdova, Roman Fischer, Benedikt M. Kessler, Zunamys I. Carrero, Daniele Guardavaccaro, Michele Pagano, Vincenzo D’Angiolella

Publikováno v: Cell Reports, Vol 24, Iss 13, Pp 3404-3412 (2018)

Summary: Orderly progressions of events in the cell division cycle are necessary to ensure the replication of DNA and cell division. Checkpoint systems allow the accurate execution of each cell-cycle phase. The precise regulation of the levels of cyc

Externí odkaz: https://doaj.org/article/cba6b75d9caf42838e570778ef371cf1

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání