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Machine Learning Assisted Web Application for Identifying Beneficial Drug Candidates for Genetic Alterations in Cancer Patients

2024-06-04

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Precision medicine in oncology relies heavily on molecular genetic data, primarily obtained from Next-generation sequencing (NGS) tests. However, the complexity of these data and the need to match genetic alterations with specific drug candidates pose significant challenges for clinicians. To simplify this process, a user-friendly web application has been developed. This app f...

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Literature Corpus work
25251622-9261-566d-a674-b62d2acb4afe
DOI
10.1101/2024.06.03.24308392
Open publication

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Machine Learning Assisted Web Application for Identifying Beneficial Drug Candidates for Genetic Alterations in Cancer PatientsDOI 10.1101/2024.06.03.24308392
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