Work

Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks

Year: 2024

Type: article

Source: Neural Networks

DOI: 10.1016/j.neunet.2024.106732

Authors: Ying Qian, Ge Zhu, Zhen Zhang, Susree Modepalli, Yihao Zheng, Xiaoning Zheng, Galit Frydman, He Li

Institutions: University of Georgia, Worcester Polytechnic Institute, Brown University, Georgetown University, Jinan University, Massachusetts General Hospital, Massachusetts Institute of Technology

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, National Sleep Foundation, Brown University, National Institutes of Health, Georgia Advanced Computing Resource Center, University of Georgia, National Heart, Lung, and Blood Institute

Awards: G1956042848, SCH: In-Vivo Real-Time Assessment of Thrombus in Stroke Treatment via Fiber Raman Spectroscopy and Multi-Physics Neural-Operator Learning

OpenAlex ID: W4402643533

FWCI: 1.483

Cites: 91

Cited by: 10

Related to: 10