The Application of Knowledge Engineering via the Use of a Biomimetic Digital Twin Ecosystem, Phenotype-Driven Variant Analysis, and Exome Sequencing to Understand the Molecular Mechanisms of Disease-Reference-Cited by-同舟云学术

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The Application of Knowledge Engineering via the Use of a Biomimetic Digital Twin Ecosystem, Phenotype-Driven Variant Analysis, and Exome Sequencing to Understand the Molecular Mechanisms of Disease

Published:2024-07 Issue:7 Volume:26 Page:543-551
ISSN:1525-1578
Container-title:The Journal of Molecular Diagnostics
language:en
Short-container-title:The Journal of Molecular Diagnostics

Author:

Kearns William G.^ORCID,Stamoulis Georgios,Glick Joseph,Baisch Lawrence,Benner Andrew,Brough Dalton,Du Luke,Wilson Bradford,Kearns Laura,Ng Nicholas,Seshan Maya,Anchan Raymond

Publisher

Elsevier BV

Reference19 articles.

1. Artificial intelligence in clinical diagnosis: opportunities, challenges, and hype;Kulkarni;JAMA,2023

2. Opportunities and Challenges for Digital Twins in Biomedical Research,2022

3. Physics of Life,2022

4. Foundational Research Gaps and Future Directions for Digital Twins,2023

5. Endometriosis;Zondervan;N Engl J Med,2020

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