
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.
| 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). | 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
