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Kexin Huang’s research focuses on the intersection of artificial intelligence and therapeutic science, with a particular emphasis on drug discovery and clinical informatics. Publicly indexed outputs suggest a significant contribution through the development of ClinicalBERT for modeling clinical notes and predicting hospital readmission, a work that has garnered over 600 citations. Huang has also pioneered methods for molecular interaction, notably creating MolTrans, a transformer-based framework for drug–target interaction prediction. This line of inquiry extends into accessible software ecosystems, as seen in the creation of DeepPurpose, a comprehensive deep learning library for drug–target interaction tasks. These foundational works establish a framework for applying large-scale language models and specialized architectures to complex biomedical data. Beyond primary methodological papers, Huang has contributed to high-impact collaborative efforts, including a highly cited review on scientific discovery in the age of artificial intelligence published in Nature. Publicly indexed records also highlight their involvement in building knowledge graphs to enable precision medicine and developing the Therapeutics Data Commons, a collection of datasets and tasks designed to standardize machine learning in drug development. These contributions, ranging from specific predictive architectures to broad data infrastructure, reflect a consistent effort to bridge the gap between advanced machine learning research and practical applications in clinician-centered drug repurposing and therapeutic design.
Kexin Huang, Cao Xiao, Lucas M Glass, Jimeng Sun
Kexin Huang, Tianfan Fu, Lucas M Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
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Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Yue Yu, Kexin Huang, Chao Zhang, Lucas M Glass, Jimeng Sun, Cao Xiao
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish N Nadkarni, Benjamin S Glicksberg, Nils Gehlenborg, Marinka Zitnik