Electromagnetic Fields Literature Analysis for Precision Medicine.

PAPER pubmed Studies in health technology and informatics 2023 Other Effect: unclear Evidence: Insufficient

Read original paper → DOI: 10.3233/shti230349 PMID: 37203583 Evidence Lab

Abstract

During the last century technological advances have increased the number of anthropogenic electromagnetic fields (EMFs) and therefore human exposures. In this work we have mined from more than 30,000 EMF-related publications the genes, diseases and molecular mechanisms associated with the exposure to six different subsets of EMFs. Results show 3653 unique disease MeSH terms and 9966 unique genes identified of which only 4340 genes are human. Overall, our approach highlights the molecular aspects of the increasing exposure to EMFs.

AI evidence extraction

At a glance

Study type

Other

Effect direction

unclear

Population

—

Sample size

—

Exposure

Evidence strength

Insufficient

Confidence: 74% · Peer-reviewed: yes

Main findings

Text-mining of more than 30,000 EMF-related publications identified 3,653 unique disease MeSH terms and 9,966 unique genes associated with exposure to six different subsets of EMFs; 4,340 of the genes were human.

Outcomes measured

genes
diseases (MeSH terms)
molecular mechanisms

Limitations

No specific EMF sources, frequencies, or exposure metrics are described in the abstract.
Findings are based on literature mining rather than direct measurement or experimental/epidemiologic assessment.

View raw extracted JSON

{
    "study_type": "other",
    "exposure": {
        "band": null,
        "source": null,
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": null
    },
    "population": null,
    "sample_size": null,
    "outcomes": [
        "genes",
        "diseases (MeSH terms)",
        "molecular mechanisms"
    ],
    "main_findings": "Text-mining of more than 30,000 EMF-related publications identified 3,653 unique disease MeSH terms and 9,966 unique genes associated with exposure to six different subsets of EMFs; 4,340 of the genes were human.",
    "effect_direction": "unclear",
    "limitations": [
        "No specific EMF sources, frequencies, or exposure metrics are described in the abstract.",
        "Findings are based on literature mining rather than direct measurement or experimental/epidemiologic assessment."
    ],
    "evidence_strength": "insufficient",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "electromagnetic fields",
        "EMF",
        "literature mining",
        "text mining",
        "genes",
        "diseases",
        "MeSH",
        "molecular mechanisms",
        "precision medicine"
    ],
    "suggested_hubs": []
}

AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract/metadata and may be incomplete or incorrect. This content is for informational purposes only and is not medical advice.

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