Back to search

Article

Graph representation forecasting of patient’s medical conditions: towards a digital twin

2020-09-20

Abstract excerpt

<h4>A bstract </h4> <h4>Objective</h4> Modern medicine needs to shift from a wait and react, curative discipline to a preventative, interdisciplinary science aiming at providing personalised, systemic and precise treatment plans to patients. The aim of this work is to present how the integration of machine learning approaches with mechanistic computational modelling could yield a reliable infrastructure to run pro...

Topics

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

Identifiers and source

Literature Corpus work
60d2e587-c9b7-54d0-b909-6bc6eced791b
DOI
10.1101/2020.09.19.20197764
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.
Graph representation forecasting of patient’s medical conditions: towards a digital twinDOI 10.1101/2020.09.19.20197764
Select a neighboring publication to make it the new centre.