Maximizing Efficiency of Artificial Intelligence‐Driven Drug Combination Optimization through Minimal Resolution Experimental Design

Author:

Lim Jhin Jieh1,Goh Jasmine1,Rashid Masturah Bte Mohd Abdul2,Chow Edward Kai‐Hua345ORCID

Affiliation:

1. Cancer Science Institute of SingaporeYong Loo Lin School of MedicineNational University of Singapore Singapore 117599 Singapore

2. KYAN Therapeutics NUS Enterprise@SSP The Curie, #02‐03 83 Science Park Drive Singapore 118258 Singapore

3. Cancer Science Institute of Singapore, Yong Loo Lin School of MedicineNational University of Singapore Singapore 117599 Singapore

4. Department of Pharmacology, Yong Loo Lin School of MedicineNational University of Singapore Singapore 117599 Singapore

5. N.1 Institute for HealthNational University of Singapore Singapore 117599 Singapore

Funder

National Research Foundation Singapore

Publisher

Wiley

Subject

Pharmacology (medical),Biochemistry, medical,Genetics(clinical),Pharmaceutical Science,Pharmacology,Medicine (miscellaneous)

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Strategies of Artificial intelligence tools in the domain of nanomedicine;Journal of Drug Delivery Science and Technology;2024-01

2. A Graph-Based Approach to Mitigate Drug-Drug Interactions and Optimize Therapeutic Regimens;2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE);2023-12-04

3. Global research trends of artificial intelligence applied in drug design: A bibliometric analysis based on Vosviewer and Citespace;Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science;2023-10-20

4. Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges;Drug Development Research;2023-09-15

5. Comparing the Performance of Multiple Small-Data Personalized Tacrolimus Dosing Models for Pediatric Liver Transplant: A Retrospective Study*;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3