Author

Justine Hsu

Institute of Biomedical Sciences, Academia SinicaPrimary ORCID profile (0000-0003-2713-5119 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Justine HsuiD5 papers · Weill Cornell Medicine

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Chih-Han HuangiD· 1 shared Edward S.C. ShihiD· 1 shared Li-yen Yang· 1 shared Ming‐Jing HwangiD· 1 shared Tsai‐Min CheniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Chih-Han HuangORCID

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1 paper

Recent·Most cited

Predicting FDA approvability of small-molecule drugs

Chih-Han Huang, Justine Hsu, Li-yen Yang, Tsai‐Min Chen, Edward S.C. Shih, Ming‐Jing Hwang

This paper develops machine learning models to predict small-molecule drug FDA approvability and clinical trial success using molecular structure and physicochemical properties, significantly reducing attrition rates.

bioRxiv · Oct 15, 2022 · PreprintBioinformatics