Article

Fully Personalised Degenerative Disease Modelling - A Duchenne Muscular Dystrophy Case Study

2022-08-02

Abstract excerpt

Predicting the trajectory of rare degenerative diseases can be extremely beneficial, especially when these predictions are personalised to be relevant for a specific patient. These predictions can help inform and advise patients, families, and clinicians about the next stages of treatment and care. Obtaining such predictions, however, can be challenging, especially when data is limited. In particular, it is import...

Topics

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

Identifiers and source

Literature Corpus work: cf93851c-6253-5203-b9d3-8c7dcbe5723c
DOI: 10.1101/2022.07.28.22278103

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Fully Personalised Degenerative Disease Modelling - A Duchenne Muscular Dystrophy Case StudyDOI 10.1101/2022.07.28.22278103Read

ALADYNOULLI: A Bayesian approach to disease progression modeling for genomic discovery and clinical predictionSemantic proximity Read

Life Expectancy in Duchenne Muscular Dystrophy: A Systematic Review and Reconstructed Individual Patient Data Meta-AnalysisSemantic proximity Read

A multi-modal phase plane method for constructing multivariate disease trajectoriesSemantic proximity Read

Diverse paths of phenotypic evolution in functional movement disorders: A longitudinal perspective.Semantic proximity Read

Synthetic-data augmented calibration for expert-informed rare disease modelsSemantic proximity Read

An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.Semantic proximity Read

Modeling disease progression in spinocerebellar ataxiasSemantic proximity Read

The moment of communicating the diagnosis of neuromuscular diseases: an integrative reviewSemantic proximity Read

A personalised approach for identifying disease-relevant pathways in heterogeneous diseasesSemantic proximity Read

Aligning personalized biomarker trajectories onto a common time axis: a connectome-based ODE model for Tau–Amyloid beta dynamicsSemantic proximity Read

dynaPhenoM: Dynamic Phenotype Modeling from Longitudinal Patient Records Using Machine LearningSemantic proximity Read

Estimation of morbid risk and age at onset with missing information.Semantic proximity Read