Back to search

Article

Unsupervised physics-informed neural network in reaction-diffusion biology models (Ulcerative colitis and Crohn’s disease cases) A preliminary study

2023-10-09

Abstract excerpt

<title>Abstract</title> <p>We propose to explore the potential of physics-informed neural networks (PINNs) in solving a class of partial differential equations (PDEs) used to model the propagation of chronic inflammatory bowel diseases, such as Crohn’s disease and ulcerative colitis. An unsupervised approach was privileged during the deep neural network training. Given the complexity of the underlying biological...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
faf8a3d0-b5a8-51f6-8251-c55b64261387
DOI
10.21203/rs.3.rs-3405428/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Unsupervised physics-informed neural network in reaction-diffusion biology models (Ulcerative colitis and Crohn’s disease cases) A preliminary studyDOI 10.21203/rs.3.rs-3405428/v1
Select a neighboring publication to make it the new centre.