:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Tianyi, Lu, Yingzhou, Hao, Nan, Zhang, Yuanyuan, Van Rechem, Capucine, Chen, Jintai, Fu, Tianfan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2401.03482
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning for Synthetic Data Generation: A Review
by: Lu, Yingzhou, et al.
Published: (2023)

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models
by: Yue, Ling, et al.
Published: (2024)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction
by: Xu, Bohao, et al.
Published: (2024)

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning
by: Yue, Ling, et al.
Published: (2024)

GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization
by: Lu, Yingzhou, et al.
Published: (2023)

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction
by: Yue, Ling, et al.
Published: (2024)

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
by: Wang, Dannong, et al.
Published: (2024)

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets
by: Chen, Jintai, et al.
Published: (2024)

Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
by: Xu, Zerui, et al.
Published: (2024)

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
by: Wang, Yue, et al.
Published: (2024)

Multimodal Clinical Trial Outcome Prediction with Large Language Models
by: Zheng, Wenhao, et al.
Published: (2024)

Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
by: Zhuang, Chris, et al.
Published: (2025)

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)

Language Interaction Network for Clinical Trial Approval Estimation
by: Gao, Chufan, et al.
Published: (2024)

Foundation Model in Biomedicine
by: Liu, Xiangrui, et al.
Published: (2025)

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
by: Zheng, Kangyu, et al.
Published: (2024)

ClinicalReTrial: Clinical Trial Redesign with Self-Evolving Agents
by: Xing, Sixue, et al.
Published: (2026)

Quantized SO(3)-Equivariant Graph Neural Networks for Efficient Molecular Property Prediction
by: Zhou, Haoyu, et al.
Published: (2026)

Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design
by: Zheng, Kangyu, et al.
Published: (2026)

Quantum-machine-assisted Drug Discovery
by: Zhou, Yidong, et al.
Published: (2024)

MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
by: Shao, Qian, et al.
Published: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)

Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs
by: Zhou, Haoyu, et al.
Published: (2026)

Fair Uncertainty Quantification for Depression Prediction
by: Li, Yonghong, et al.
Published: (2025)

Reinforcing Numerical Reasoning in LLMs for Tabular Prediction via Structural Priors
by: Cai, Pengxiang, et al.
Published: (2025)

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
by: Jiang, Xinke, et al.
Published: (2023)

Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
by: Yan, Jiahuan, et al.
Published: (2024)

Uncertainty Quantification on Graph Learning: A Survey
by: Chen, Chao, et al.
Published: (2024)

Benchmarking GNNs for OOD Materials Property Prediction with Uncertainty Quantification
by: Tan, Liqin, et al.
Published: (2025)

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding
by: Gao, Chufan, et al.
Published: (2025)

QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
by: Zheng, Kangyu, et al.
Published: (2025)

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search
by: Jiang, Shengli, et al.
Published: (2023)

Graph Adversarial Diffusion Convolution
by: Liu, Songtao, et al.
Published: (2024)

DrugCLIP: Contrastive Drug-Disease Interaction For Drug Repurposing
by: Lu, Yingzhou, et al.
Published: (2024)

MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction
by: Zhang, Yiqing, et al.
Published: (2025)

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks
by: Wu, Yujia, et al.
Published: (2024)

Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
by: Detavernier, Adrián, et al.
Published: (2026)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)

Deep Learning-based Prediction of Clinical Trial Enrollment with Uncertainty Estimates
by: Do, Tien Huu, et al.
Published: (2025)

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction
by: Inoue, Yoshitaka, et al.
Published: (2025)