Assessing the feasibility of machine learning for ancient DNA age prediction: limitations and insights
Kazanskii M; Golikova M; Kasianov A; Ivanova A; Suraganov A; Uroshlev L · 2025 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
We investigated the possibility of estimating the age of ancient biological samples directly from their DNA damage profiles using supervised machine learning. Traditional dating methods such as radiocarbon dating, dendrochronology rely on…
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Metadata source: Europe PMC · DOI 10.1101/2025.11.09.687346