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Oncoimmunology
|
June 15, 2018
Large-scale database mining reveals hidden trends and future directions for cancer immunotherapy
Jakob Nikolas Kather, Anna Sophie Berghoff, Dyke Ferber, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 16, 2024
LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models
Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, et al.
NPJ Precision Oncology
|
September 17, 2025
A software pipeline for medical information extraction with large language models, open source and suitable for oncology
Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, et al.
Nature Communications
|
November 21, 2024
In-context learning enables multimodal large language models to classify cancer pathology images
Dyke Ferber, Georg Wölflein, Isabella C Wiest, et al.
NPJ Digital Medicine
|
September 20, 2024
Privacy-preserving large language models for structured medical information retrieval
Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, et al.
International Journal of Surgery (London, England)
|
July 18, 2025
Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study
Esther Helene Stueker, Fiona R Kolbinger, Oliver Lester Saldanha, et al.
Nature Cancer
|
June 6, 2025
Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
Dyke Ferber, Omar S M El Nahhas, Georg Wölflein, et al.
NPJ Precision Oncology
|
December 4, 2025
Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data
Sonja Mathes, Dyke Ferber, Tobias Dreyer, et al.
NPJ Digital Medicine
|
July 9, 2025
Large language models-enabled digital twins for precision medicine in rare gynecological tumors
Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, et al.
Plos Medicine
|
January 25, 2019
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Jakob Nikolas Kather, Johannes Krisam, Pornpimol Charoentong, et al.
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Search research articles
Search
Showing results (11-20 of 24) with videos related to
Sort By:
Page
of 3
Oncoimmunology
|
June 15, 2018
Large-scale database mining reveals hidden trends and future directions for cancer immunotherapy
Jakob Nikolas Kather, Anna Sophie Berghoff, Dyke Ferber, et al.
Medrxiv : the Preprint Server for Health Sciences
|
September 16, 2024
LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models
Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, et al.
NPJ Precision Oncology
|
September 17, 2025
A software pipeline for medical information extraction with large language models, open source and suitable for oncology
Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, et al.
Nature Communications
|
November 21, 2024
In-context learning enables multimodal large language models to classify cancer pathology images
Dyke Ferber, Georg Wölflein, Isabella C Wiest, et al.
NPJ Digital Medicine
|
September 20, 2024
Privacy-preserving large language models for structured medical information retrieval
Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, et al.
International Journal of Surgery (London, England)
|
July 18, 2025
Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study
Esther Helene Stueker, Fiona R Kolbinger, Oliver Lester Saldanha, et al.
Nature Cancer
|
June 6, 2025
Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
Dyke Ferber, Omar S M El Nahhas, Georg Wölflein, et al.
NPJ Precision Oncology
|
December 4, 2025
Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data
Sonja Mathes, Dyke Ferber, Tobias Dreyer, et al.
NPJ Digital Medicine
|
July 9, 2025
Large language models-enabled digital twins for precision medicine in rare gynecological tumors
Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, et al.
Plos Medicine
|
January 25, 2019
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
Jakob Nikolas Kather, Johannes Krisam, Pornpimol Charoentong, et al.
Page
of 3