Rethinking the Understanding Ability across LLMs through Mutual Information.

Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review.

Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning.

A hidden multiwing memristive neural network and its application in remote sensing data security.

Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective.

Large Language Models for Disease Diagnosis: A Scoping Review.

Interpretable Differential Diagnosis with Dual-Inference Large Language Models.

Understanding Different Design Choices in Training Large Time Series Models.

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction.

UniGLM: Training One Unified Language Model for Text-Attributed Graphs.

Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling.

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant.

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.

AutoVideo: An Automated Video Action Recognition System.

An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions.