Priyanshi Shah

The paper quantifies telomere content variation across 26 global human populations and finds significant differences between African-ancestry populations in the Americas and other superpopulations.

This paper develops a machine learning model using telomeric data to predict tumor status across 33 cancer types, achieving 82.62% accuracy.