Work

Abstract 7449: Evaluating the effectiveness of machine learning models using polygenic risk scores and clinical factors for breast cancer risk stratification

Year: 2025

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2025-7449

Authors: Lannawill Caruth, Roukiatou Sore, Sarah Ehsan, Anne-Marie McCarthy, Shefali Setia-Verma

Institution: University of Pennsylvania

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409631079

Cites:

Cited by:

Related to: 10