From mechanistic insight towards clinical implementation using normative modeling

T Rieg, E Schwarz - Nature Computational Science, 2022 - nature.com
Normative modeling is considered one of the most promising avenues towards personalized
medicine. The integration of multimodal, mechanistic and lifespan modeling will play an …

[HTML][HTML] Computational models for clinical applications in personalized medicine—guidelines and recommendations for data integration and model validation

CB Collin, T Gebhardt, M Golebiewski… - Journal of personalized …, 2022 - mdpi.com
The future development of personalized medicine depends on a vast exchange of data from
different sources, as well as harmonized integrative analysis of large-scale clinical health …

[PDF][PDF] EU-STANDS4PM consortium; et al. Computational models for clinical applications in personalized medicine—Guidelines and recommendations for data …

CB Collin, T Gebhardt, M Golebiewski, T Karaderi… - J. Pers. Med, 2022 - academia.edu
The future development of personalized medicine depends on a vast exchange of data from
different sources, as well as harmonized integrative analysis of large-scale clinical health …

Moving beyond the genome with computer modeling

P Christen - Personalized Medicine, 2018 - Taylor & Francis
Background Personalized or precision medicine has been defined as treatments targeted to
the needs of individual patients based on genetic, biomarker, phenotypic, or psychosocial …

Human systems biology and metabolic modelling: a review—from disease metabolism to precision medicine

C Angione - BioMed research international, 2019 - Wiley Online Library
In cell and molecular biology, metabolism is the only system that can be fully simulated at
genome scale. Metabolic systems biology offers powerful abstraction tools to simulate all …

Dynamical systems approaches to personalized medicine

JD Davis, CM Kumbale, Q Zhang, EO Voit - Current opinion in …, 2019 - Elsevier
Highlights•The same disease and an individual's responses to drugs can vary
considerably.•The central reason for these differences is the complexity of the human …

Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model‐Informed Precision Medicine

N Terranova, K Venkatakrishnan - Clinical Pharmacology & …, 2024 - Wiley Online Library
The increasing breadth and depth of resolution in biological and clinical data, including‐
omics and real‐world data, requires advanced analytical techniques like artificial …

“Big Data and Dynamics”—The Mathematical Toolkit Towards Personalized Medicine

L Turnhoff, N Kusch, A Schuppert - Patterns of Dynamics: Berlin, July 2016 …, 2017 - Springer
Predictive models and simulations addressing the individual progression of diseases are
crucial for the optimization of diagnostic tools and therapeutic decisions en route to precision …

Model-based approaches to biomarker discovery and evaluation: a multidisciplinary integrated review

P Vicini, MR Gastonguay… - Critical Reviews™ in …, 2002 - dl.begellhouse.com
The most common use of any mathematical or statistical model in physiology,
pathophysiology, or therapy evaluation is to organize all relevant components characterizing …

[HTML][HTML] Predictive models for health deterioration: Understanding disease pathways for personalized medicine

BM Eskofier, J Klucken - Annual Review of Biomedical …, 2023 - annualreviews.org
Artificial intelligence (AI) and machine learning (ML) methods are currently widely employed
in medicine and healthcare. A PubMed search returns more than 100,000 articles on these …