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A NOVEL MACHINE LEARNING APPROACH FOR TUMOR DETECTION BASED ON TELOMERIC SIGNATURES

2025-05-31

Abstract excerpt

<h4>ABSTRACT</h4> Cancer remains one of the most complex diseases faced by humanity, with over 200 distinct types, each characterized by unique molecular profiles that demand specialized therapeutic approaches (Tomczak et al., 2015). Prior studies have shown that both short and long telomere lengths are associated with elevated cancer risk, underscoring the intricate relationship between telomere length variation...

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Literature Corpus work
aa925203-220b-52d3-ab1d-2a7445451e2b
DOI
10.1101/2025.05.28.656542
Open publication

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A NOVEL MACHINE LEARNING APPROACH FOR TUMOR DETECTION BASED ON TELOMERIC SIGNATURESDOI 10.1101/2025.05.28.656542
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