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WHITE PAPER ON ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) APPLIED TO TOXICOLOGY FOR HUMAN HEALTH PROTECTION WITH A FOCUS ON EPIDEMIOLOGY

Authors: Linzalone, Nunzia; Vozzi, Federico; Mertens, Birgit; Gavras, Anastasius; Mohnani, Pooja; Herzog, Uwe;

WHITE PAPER ON ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) APPLIED TO TOXICOLOGY FOR HUMAN HEALTH PROTECTION WITH A FOCUS ON EPIDEMIOLOGY

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various fields, including toxicology and epidemiology. By leveraging large datasets across different modalities (e.g. images, audio, free text, genomic data, and others) and advanced algorithms, AI/ML technologies offer significant potential in terms of storage and computing power providing the necessary base to be integrated with fundamental sciences and diversified research aims.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average