New Computational Model Predicts Telomere Length from Routine Medical Biopsies
• Scientists at Sanford Burnham Prebys Medical Discovery Institute developed TLPath, a new computational tool that infers telomere length—repeating DNA sections at chromosome ends that shorten with age—by detecting structural changes in cells captured in routine biopsy images. • The model successfully predicted telomere length more accurately than using patient age alone and could identify telomere length differences between individuals of the same chronological age, potentially transforming large-scale aging research. • Published in Cell Reports Methods, the findings enable researchers to measure an important aging metric quickly and cheaply without costly traditional tests, opening new opportunities to study telomere biology and human aging.
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