4 papers
RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine
Hasi Hays, William J. Richardson
Network topology excels at structural predictions but fails to capture functional semantics encoded in biomedical literature. We present RAG-GNN, an end-to-end trainable retrieval-…
ECMSim: A high-performance interactive web application for real-time spatiotemporal simulation of cardiac ECM signaling and diffusion
Hasi Hays, William J. Richardson
Extracellular matrix (ECM) remodeling is central to a wide variety of healthy and diseased tissue processes. Unfortunately, predicting ECM remodeling under various chemical and mec…
Hierarchical Molecular Language Models (HMLMs)
Hasi Hays, Yue Yu, William J. Richardson
Artificial intelligence (AI) is reshaping computational and network biology by enabling new approaches to decode cellular communication networks. We introduce Hierarchical Molecula…
A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements
Jihong Wang, Chung-Hao Lee, William Richardson +1
In this work, we present a novel approach to process the DIC measurements of multiple biaxial stretching protocols. In particular, we develop a optimization-based approach, which c…