Data-driven precision medicine through the analysis of biological functional modules

Ilan Shomorony

doi:10.1016/j.xcrm.2022.100876

Data-driven precision medicine through the analysis of biological functional modules

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Data-driven methods are expected to enable a next generation of personalized, preventative medicine. Zhang and colleagues¹ demonstrate how biological functional modules (BFMs) derived from the analysis of multimodal data can provide detailed quantitative health assessments and inform medical interventions.

Original language	English (US)
Article number	100876
Journal	Cell Reports Medicine
Volume	3
Issue number	12
DOIs	https://doi.org/10.1016/j.xcrm.2022.100876
State	Published - Dec 20 2022

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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10.1016/j.xcrm.2022.100876

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title = "Data-driven precision medicine through the analysis of biological functional modules",

abstract = "Data-driven methods are expected to enable a next generation of personalized, preventative medicine. Zhang and colleagues1 demonstrate how biological functional modules (BFMs) derived from the analysis of multimodal data can provide detailed quantitative health assessments and inform medical interventions.",

author = "Ilan Shomorony",

note = "The author declares no competing interests.",

year = "2022",

month = dec,

day = "20",

doi = "10.1016/j.xcrm.2022.100876",

language = "English (US)",

volume = "3",

journal = "Cell Reports Medicine",

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TY - JOUR

T1 - Data-driven precision medicine through the analysis of biological functional modules

AU - Shomorony, Ilan

N1 - The author declares no competing interests.

PY - 2022/12/20

Y1 - 2022/12/20

N2 - Data-driven methods are expected to enable a next generation of personalized, preventative medicine. Zhang and colleagues1 demonstrate how biological functional modules (BFMs) derived from the analysis of multimodal data can provide detailed quantitative health assessments and inform medical interventions.

AB - Data-driven methods are expected to enable a next generation of personalized, preventative medicine. Zhang and colleagues1 demonstrate how biological functional modules (BFMs) derived from the analysis of multimodal data can provide detailed quantitative health assessments and inform medical interventions.

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DO - 10.1016/j.xcrm.2022.100876

M3 - Comment/debate

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SN - 2666-3791

VL - 3

JO - Cell Reports Medicine

JF - Cell Reports Medicine

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Data-driven precision medicine through the analysis of biological functional modules

Abstract

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