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Large Language Models-Enabled Digital Twins for Precision Medicine in
  Rare Gynecological Tumors

Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors

31 August 2024
Jacqueline Lammert
Nicole Pfarr
Leonid Kuligin
Sonja Mathes
Tobias Dreyer
Luise Modersohn
Patrick Metzger
Dyke Ferber
Jakob Nikolas Kather
Daniel Truhn
Lisa Christine Adams
Keno Kyrill Bressem
Sebastian Lange
Kristina Schwamborn
Martin Boeker
Marion Kiechle
Ulrich A. Schatz
Holger Bronger
Maximilian Tschochohei
    LM&MAAI4CE
ArXiv (abs)PDFHTML

Papers citing "Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors"

3 / 3 papers shown
Title
Gemma 2: Improving Open Language Models at a Practical Size
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team
Gemma Team Morgane Riviere
Shreya Pathak
Pier Giuseppe Sessa
Cassidy Hardin
...
Noah Fiedel
Armand Joulin
Kathleen Kenealy
Robert Dadashi
Alek Andreev
VLMMoEOSLM
125
904
0
31 Jul 2024
Capabilities of Gemini Models in Medicine
Capabilities of Gemini Models in Medicine
Khaled Saab
Tao Tu
Wei-Hung Weng
Ryutaro Tanno
David Stutz
...
Christopher Semturs
S. S. Mahdavi
Juraj Gottweis
Alan Karthikesalingam
Vivek Natarajan
ELMAI4MHLM&MA
79
182
0
29 Apr 2024
An Explanation of In-context Learning as Implicit Bayesian Inference
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLMBDLVPVLMLRM
208
763
0
03 Nov 2021
1