Recent progress in machine learning approaches for predicting carcinogenicity in drug development-Reference-Cited by-同舟云学术

Recent progress in machine learning approaches for predicting carcinogenicity in drug development

Author:

Le Nguyen Quoc Khanh¹²³⁴,Tran Thi-Xuan⁵,Nguyen Phung-Anh⁶⁷,Ho Trang-Thi⁸,Nguyen Van-Nui⁹

Affiliation:

1. Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

2. AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan

3. Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan

4. Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan

5. University of Economics and Business Administration, Thai Nguyen University, Thai Nguyen, Vietnam

6. Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei, Vietnam

7. Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Vietnam

8. Department of Computer Science and Information Engineering, TamKang University, New Taipei, Taiwan

9. University of Information and Communication Technology, Thai Nguyen University, Thai Nguyen, Vietnam

Funder

TUEBA

Publisher

Informa UK Limited

Link

Reference61 articles.

1. Improving prediction of carcinogenicity to reduce, refine, and replace the use of experimental animals;Bourcier T;J Am Assoc Lab Anim Sci,2015