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Toward Next-Generation Phenomics: Precision Medicine, Spaceflight, Astronaut Omics, and Beyond
1OMICS: A Journal of Integrative Biology, New Rochelle, New York, USA.
Omics : a Journal of Integrative Biology
|July 17, 2024
Summary
Next-generation phenomics requires advancements in high-throughput digital phenotyping to address the "phenomics lag." This involves integrating artificial intelligence and considering political theory for responsible digital technology governance.
Area of Science:
- Systems science
- Genomics
- Digital health
Background:
- Decades of investment in genomics have not been matched by phenomics advancements, creating a
Purpose of the Study:
- To explore the future of next-generation phenomics, focusing on digital phenotyping.
- To examine the role of artificial intelligence and the Internet of Things in high-throughput phenotyping.
- To consider the governance of digital technologies within the context of phenomics.
Main Methods:
- Literature review and theoretical analysis.
- Engagement with political theory, specifically Achille Mbembe's "The Earthly Community."
- Discussion of genotype-phenotype association studies and systems science challenges.
Main Results:
- Identified a "phenomics lag" due to insufficient focus on high-throughput phenotype characterization.
- Highlighted the potential and challenges of digital phenotyping using AI and IoT.
- Emphasized the need for a political theory lens in governing digital phenomics.
Conclusions:
- Next-generation phenomics must integrate digital technologies like AI and IoT for advanced phenotyping.
- Critical and historically informed governance is essential for ethical and effective digital phenomics.
- Addressing the phenomics lag requires interdisciplinary approaches, including political theory, to ensure equitable and sustainable planetary health.
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