Article

preon: Fast and accurate entity normalization for drug names and cancer types in precision oncology

2023-05-22

Abstract excerpt

<h4>Motivation</h4> In precision oncology, clinicians are aiming to find the best treatment for any patient based on their molecular characterization. A major bottleneck is the annotation and evaluation of individual variants, for which usually a range of knowledge bases are manually screened. To incorporate and integrate the vast information of different databases, fast and accurate methods for harmonization are...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a247afc3-02e1-5aef-95e7-13ae47cdfa82
DOI: 10.1101/2023.05.22.540912

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

preon: Fast and accurate entity normalization for drug names and cancer types in precision oncologyDOI 10.1101/2023.05.22.540912Read

OncoCTMiner: streamlining precision oncology trial matching via molecular profile analysisSemantic proximity Read

OpenOncology: An Open-Source Framework for Evidence-Based Drug Matching and De Novo Custom Drug Discovery in Precision OncologySemantic proximity Read

Validating Subtype Specific Oncology Drug PredictionsSemantic proximity Read

pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization and comparisonSemantic proximity Read

Digital ECMT Cancer Trial Matching Tool: an Open Source Research Application to Support Oncologists in the Identification of Precision Medicine Clinical Trials.Semantic proximity Read

Manual curation of TCGA treatment data and identification of potential markers of therapy responseSemantic proximity Read

Gilda: biomedical entity text normalization with machine-learned disambiguation as a serviceSemantic proximity Read

Variantscape: Large Language Model-Driven Mining of Biomedical Literature for Clinical Interpretation of Cancer VariantsSemantic proximity Read

Implementing a data infrastructure for precision oncology projects leveraging REDCapSemantic proximity Read

Machine Learning Assisted Web Application for Identifying Beneficial Drug Candidates for Genetic Alterations in Cancer PatientsSemantic proximity Read

GETgene-AI: A Framework for Prioritizing Actionable Cancer Drug TargetsSemantic proximity Read

CIViCutils: Matching and downstream processing of clinical annotations from CIViCSemantic proximity Read