Author

Jasmine Sarah Pye

University of Technology SydneyORCID 0000-0002-7174-4889Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Cheng Dong· 1 shared Chenxi Zhao· 1 shared Chunyi WeniD· 1 shared Jie Hao· 1 shared Man Ting AuiD· 1 shared Xinluan WangiD· 1 shared Zhengkun CheniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

Cheng Dong

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintMar 26, 2026

Decoding Immunomodulatory Hydrogels for Arthritis: Comparative Insights from Predictive Machine Learning and Large Language Models

Zhengkun Chen, Jie Hao, Jasmine Sarah Pye…·Chunyi Wen

The paper uses machine learning to analyze hydrogel formulations for arthritis, identifying key design factors and showing improved predictive accuracy over classical methods.

DOI 10.64898/2026.03.23.713755

machine learning (classical)deep learning

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