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Naoto Usuyama

Showing results (1-10 of 11) with videos related to

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Annual Review of Biomedical Data Science|April 17, 2025
Biomedical Natural Language Processing in the Era of Large Language ModelsNaoto Usuyama, Cliff Wong, Sheng Zhang, et al.
NPJ Digital Medicine|July 16, 2019
Fast and accurate medication identificationNatalia Larios Delgado, Naoto Usuyama, Amanda K Hall, et al.
Bioinformatics (Oxford, England)|August 16, 2014
HapMuC: somatic mutation calling using heterozygous germ line variants near candidate mutationsNaoto Usuyama, Yuichi Shiraishi, Yusuke Sato, et al.
Patterns (New York, N.Y.)|May 1, 2023
Fine-tuning large neural language models for biomedical natural language processingRobert Tinn, Hao Cheng, Yu Gu, et al.
NPJ Systems Biology and Applications|August 22, 2024
Integrated-omics analysis with explainable deep networks on pathobiology of infant bronchiolitisTadao Ooka, Naoto Usuyama, Ryohei Shibata, et al.
Patterns (New York, N.Y.)|May 1, 2023
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervisionSam Preston, Mu Wei, Rajesh Rao, et al.
Nature Methods|November 18, 2024
A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalitiesTheodore Zhao, Yu Gu, Jianwei Yang, et al.
Cell|December 10, 2025
Multimodal AI generates virtual population for tumor microenvironment modelingJeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, et al.
Nature|May 22, 2024
A whole-slide foundation model for digital pathology from real-world dataHanwen Xu, Naoto Usuyama, Jaspreet Bagga, et al.
Nature Communications|April 1, 2025
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findingsJuan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Annual Review of Biomedical Data Science|April 17, 2025
Biomedical Natural Language Processing in the Era of Large Language ModelsNaoto Usuyama, Cliff Wong, Sheng Zhang, et al.
NPJ Digital Medicine|July 16, 2019
Fast and accurate medication identificationNatalia Larios Delgado, Naoto Usuyama, Amanda K Hall, et al.
Bioinformatics (Oxford, England)|August 16, 2014
HapMuC: somatic mutation calling using heterozygous germ line variants near candidate mutationsNaoto Usuyama, Yuichi Shiraishi, Yusuke Sato, et al.
Patterns (New York, N.Y.)|May 1, 2023
Fine-tuning large neural language models for biomedical natural language processingRobert Tinn, Hao Cheng, Yu Gu, et al.
NPJ Systems Biology and Applications|August 22, 2024
Integrated-omics analysis with explainable deep networks on pathobiology of infant bronchiolitisTadao Ooka, Naoto Usuyama, Ryohei Shibata, et al.
Patterns (New York, N.Y.)|May 1, 2023
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervisionSam Preston, Mu Wei, Rajesh Rao, et al.
Nature Methods|November 18, 2024
A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalitiesTheodore Zhao, Yu Gu, Jianwei Yang, et al.
Cell|December 10, 2025
Multimodal AI generates virtual population for tumor microenvironment modelingJeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, et al.
Nature|May 22, 2024
A whole-slide foundation model for digital pathology from real-world dataHanwen Xu, Naoto Usuyama, Jaspreet Bagga, et al.
Nature Communications|April 1, 2025
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findingsJuan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, et al.
Pageof 2