Machine learning models to predict age from brain transcriptome changes

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Machine learning models to predict age from brain transcriptome changes
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A new research paper was published on the cover of Aging (listed by MEDLINE/PubMed as 'Aging (Albany NY)' and 'Aging-US' by Web of Science) Volume 16, Issue 5, entitled, 'Genome-wide transcriptome profiling and development of age prediction models in the human brain.

Mar 15 2024Aging-US A new research paper was published on the cover of Aging " and "Aging-US" by Web of Science) Volume 16, Issue 5, entitled, "Genome-wide transcriptome profiling and development of age prediction models in the human brain."

In this new study, researchers Joseph A. Zarrella and Amy Tsurumi from the Harvard T.H. Chan School of Public Health, Massachusetts General Hospital, Harvard Medical School, and Shriner's Hospitals for Children-Boston aimed to profile PFC transcriptome changes during healthy human aging overall and comparing potential differences between female and male samples, as well as developing chronological age prediction models by various methods.

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