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The team used AI to develop an algorithm called ‘HistoAge,’ which predicts age at death based on the cellular composition of human brain tissue specimens with an average accuracy of 5.45 years . The team used digitized human hippocampal sections of 689 deceased people to develop a brain age estimation model.is known to be involved in both brain aging and age-dependent neurodegenerative diseases and, thus, is an ideal region for this analysis.
“Our data suggest that HistoAge may offer a holistic quantitative metric of pathologic brain aging, which has the potential to advance our understanding of the underlying mechanisms of brain aging and the development of age-related disorders,” wrote the researchers.
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