Improving personalized tumor growth predictions using a Bayesian combination of mechanistic modeling and machine learning
Abstract
In clinical practice, a plethora of medical examinations are conducted to assess the state of a patient's pathology producing a variety of clinical data. However, investigation of these data faces two major challenges. Firstly, we lack the knowledge of the mechanisms involved in regulating these data variables, and secondly, data collection is sparse in time since it relies on patient's clinical presentation. The former limits the predictive...
Paper Details
Title
Improving personalized tumor growth predictions using a Bayesian combination of mechanistic modeling and machine learning
Published Date
Jul 29, 2021
Journal
Volume
1
Issue
1
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