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2311.01301
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TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
2 November 2023
Javier González
Cliff Wong
Zelalem Gero
Jass Bagga
Risa Ueno
Isabel Chien
Eduard Orakvin
Emre Kiciman
Aditya V. Nori
R. Weerasinghe
R. Leidner
B. Piening
Tristan Naumann
Carlo Bifulco
Hoifung Poon
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Papers citing
"TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models"
4 / 4 papers shown
Title
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine
Adib Bazgir
Amir Habibdoust Lafmajani
Yuwen Zhang
LM&MA
ELM
AI4CE
158
0
0
22 May 2025
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
Xuzhao Li
Shaika Chowdhury
Chung Il Wi
Maria Vassilaki
Ken Liu
...
Owen Garrick
Young J Juhn
James R Cerhan
Cui Tao
Nansu Zong
LM&MA
191
3
0
17 Mar 2025
Reasoning Elicitation in Language Models via Counterfactual Feedback
International Conference on Learning Representations (ICLR), 2024
Alihan Hüyük
Xinnuo Xu
Jacqueline R. M. A. Maasch
Aditya V. Nori
Javier González
ReLM
LRM
855
7
0
02 Oct 2024
Zero-Shot Clinical Trial Patient Matching with LLMs
Michael Wornow
Alejandro Lozano
Dev Dash
Jenelle A. Jindal
Kenneth W. Mahaffey
Nigam H. Shah
278
54
0
05 Feb 2024
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