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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"

13 / 13 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
Yaojie Lu
Siyu Chen
Xiyang Hu
Jieyu Zhao
Tianfan Fu
Yue Zhao
LLMAG
142
12
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
112
1
0
02 Oct 2024
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
Yue Wang
Tianfan Fu
Yinlong Xu
Zihan Ma
Hongxia Xu
Yingzhou Lu
Bang Du
Hong-Yan Gao
Jian Wu
LM&MA
69
30
0
01 Apr 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 Li
Hongtu Zhu
Tianfan Fu
Huaxiu Yao
Huaxiu Yao
160
5
0
09 Feb 2024
Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
66
77
0
07 May 2023
Differentiable Scaffolding Tree for Molecular Optimization
Differentiable Scaffolding Tree for Molecular Optimization
Tianfan Fu
Wenhao Gao
Cao Xiao
Jacob Yasonik
Connor W. Coley
Jimeng Sun
68
78
0
22 Sep 2021
Consistent Estimators for Learning to Defer to an Expert
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar
David Sontag
49
201
0
02 Jun 2020
Publicly Available Clinical BERT Embeddings
Publicly Available Clinical BERT Embeddings
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
134
1,971
0
06 Apr 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman
Ran El-Yaniv
CVBM
OOD
118
310
0
26 Jan 2019
Selective Classification for Deep Neural Networks
Selective Classification for Deep Neural Networks
Yonatan Geifman
Ran El-Yaniv
CVBM
92
526
0
23 May 2017
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
94
675
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
595
28,999
0
09 Sep 2016
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
155
1,681
0
22 Jul 2015
1