5 citations · 7 across the 5 of their papers we have counts for
5 papers
Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
Jiayuan Chen, Ruoqi Liu, Zishan Gu +1
Microscopy-based phenotypic profiling is scalable for drug discovery but lacks the mechanistic depth of transcriptomics, which remains costly and scarce. Existing multimodal approa…
SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors
Yuanlong Wang, Pengqi Wang, Changchang Yin +1
Living environments play a vital role in the prevalence and progression of diseases, and understanding their impact on patient's health status becomes increasingly crucial for deve…
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
Zishan Gu, Changchang Yin, Fenglin Liu +1
Large Vision Language Models (LVLMs) have recently achieved superior performance in various tasks on natural image and text data, which inspires a large amount of studies for LVLMs…
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning
Zishan Gu, Fenglin Liu, Changchang Yin +1
The adoption of large language models (LLMs) in healthcare has attracted significant research interest. However, their performance in healthcare remains under-investigated and pote…
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
Jiayuan Chen, Changchang Yin, Yuanlong Wang +1
Deep learning-based predictive models, leveraging Electronic Health Records (EHR), are receiving increasing attention in healthcare. An effective representation of a patient's EHR…