Author

Nour Al Khoury

Max Delbrück Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:large language model· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Altuna AkaliniD· 2 shared Artür ManukyaniD· 1 shared Jacqueline A. Jansen· 1 shared Maqsood Shaik· 1 shared Ricardo WurmusiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Altuna AkalinORCID

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2 papers

Recent·Most cited

Bioinformaticsnpj Digital MedicinePeer-reviewedMay 5, 2025

Enhancing Biomarker-Based Oncology Trial Matching Using Large Language Models

Nour Al Khoury, Maqsood Shaik, Ricardo Wurmus, Altuna Akalin

This study uses large language models to extract genomic biomarkers from oncology trials, showing open-source models outperform closed-source ones and benefit from fine-tuning.

5 citations

large language modelbenchmarking

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedFeb 21, 2025

Leveraging large language models for data analysis automation

Jacqueline A. Jansen, Artür Manukyan, Nour Al Khoury, Altuna Akalin

This paper introduces mergen, an R package using LLMs to automate data analysis by generating and executing code based on user descriptions, showing promise but highlighting challenges in complex tasks.

39 citationstop 1%

machine learning (classical)software / tool

𝕏 PostBluesky