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Uncertainty Quantification on Clinical Trial Outcome Prediction

Uncertainty Quantification on Clinical Trial Outcome Prediction

7 January 2024
Tianyi Chen
Yingzhou Lu
Nan Hao
Capucine Van Rechem
Jintai Chen
Tianfan Fu
ArXivPDFHTML

Papers citing "Uncertainty Quantification on Clinical Trial Outcome Prediction"

7 / 7 papers shown
Title
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Sizhe Liu
Y. Lu
Siyu Chen
Xiyang Hu
Jieyu Zhao
Tianfan Fu
Yue Zhao
LLMAG
79
6
0
24 Nov 2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie
Yue Zhao
33
0
0
02 Oct 2024
Protein-Mamba: Biological Mamba Models for Protein Function Prediction
Protein-Mamba: Biological Mamba Models for Protein Function Prediction
Bohao Xu
Yingzhou Lu
Yoshitaka Inoue
Namkyeong Lee
Tianfan Fu
Jintai Chen
Mamba
24
1
0
22 Sep 2024
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
Kangyu Zheng
Yingzhou Lu
Zaixi Zhang
Zhongwei Wan
Yao Ma
Marinka Zitnik
Tianfan Fu
ELM
27
6
0
04 Jun 2024
Multimodal Clinical Trial Outcome Prediction with Large Language Models
Multimodal Clinical Trial Outcome Prediction with Large Language Models
Wenhao Zheng
Dongsheng Peng
Hongxia Xu
Yun-Qing Li
Hongtu Zhu
Tianfan Fu
Huaxiu Yao
Huaxiu Yao
33
5
0
09 Feb 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1