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Disease progression modeling with temporal realignment: An emerging approach to deepen knowledge on chronic diseases
Hideki Yoshioka1, Ryota Jin2, Akihiro Hisaka2
1Office of Regulatory Science Research, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan; Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Pharmacology & Therapeutics
|May 6, 2024
Summary
Disease progression modeling with temporal realignment (DPM-TR) enhances chronic disease understanding and prediction. This computational approach uses biomarker data to track long-term changes, aiding drug development and clinical practice.
Area of Science:
- Computational biology and bioinformatics
- Biomarker research and disease modeling
- Neurodegenerative disease research
Background:
- The first disease-modifying drug for Alzheimer's disease marks a significant treatment advancement.
- Understanding disease progression requires analyzing long-term sequential changes in multiple biomarkers, not just current symptoms.
- This biomarker-based concept underpins emerging computational approaches.
Purpose of the Study:
- To review the emerging computational approach of Disease Progression Modeling with Temporal Realignment (DPM-TR).
- To explore opportunities for DPM-TR in clinical practice and drug development.
- To discuss the current status and challenges of DPM-TR.
Main Methods:
- DPM-TR integrates short-term clinical observations of multiple disease biomarkers.
- It employs a data-driven approach to model disease progression over decades.
- The method has been applied to neurodegenerative and non-neurodegenerative diseases.
Main Results:
- DPM-TR enables a more accurate understanding of chronic disease progression.
- It improves the prediction of individual disease stages.
- The approach has shown applicability beyond neurodegenerative conditions.
Conclusions:
- DPM-TR offers a powerful tool for analyzing complex, long-term disease trajectories.
- Its application holds significant promise for advancing clinical practice and accelerating drug development for various chronic diseases.
- Further development and validation are needed to address current challenges.
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