Author

Lilly Wollman

University of Cambridge

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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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Anika LiuiD· 2 shared Gehad YoussefiD· 2 shared Méabh MacMahoniD· 2 shared Namshik HaniD· 2 shared Nicholas M. KatritsisiD· 2 shared Sanjay RatheeiD· 2 shared Woochang HwangiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Anika LiuORCID

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2 papers

Recent·Most cited

dialogi: Utilising NLP with chemical and disease similarities to drive the identification of Drug-Induced Liver Injury literature

Nicholas M. Katritsis, Anika Liu, Gehad Youssef, Sanjay Rathee, Méabh MacMahon, Woochang Hwang, Lilly Wollman, Namshik Han

The paper presents an automated pipeline using NLP and chemical/disease embeddings to classify DILI-related literature, achieving high F1-scores in distinguishing DILI-positive from negative papers.

Frontiers in Genetics · Aug 9, 2022Peer-reviewedBioinformatics

DILIc: An AI-based classifier to search for Drug-Induced Liver Injury literature

Sanjay Rathee, Méabh MacMahon, Anika Liu, Nicholas M. Katritsis, Gehad Youssef, Woochang Hwang, Lilly Wollman, Namshik Han

This paper introduces DILIc, an AI classifier that identifies Drug-Induced Liver Injury literature using NLP and ML, achieving high accuracy in cross-validation and external validation.

Frontiers in Genetics · Jun 29, 2022Peer-reviewedBioinformatics