
Artificial intelligence in drug development - PubMed
Here we present an overview of recent advancements in AI applications across the entire drug development workflow, encompassing the identification of disease targets, drug discovery, …
Artificial intelligence in drug development - Nature Medicine
2025年1月20日 · This Review explores the state-of-the-art applications of artificial intelligence in small-molecule drug development, from target identification and drug synthesis up to clinical …
Here we present an overview of recent advancements in AI applications across the entire drug development workflow, encompassing the identification of disease targets, drug discovery,...
Dr. Lifeng Kang - Kang Lab
Lifeng Kang is a Senior Lecturer at the School of Pharmacy, Faculty of Medicine and Health, University of Sydney. His laboratory is focused on microscale technologies and 3D printing for …
Lifeng Kang - Google Scholar
Associate Professor, School of Pharmacy, Faculty of Medicine and Health, University of Sydney - Cited by 4,423 - drug delivery - regenerative medicine - 3D printing. -...
Deep multiple instance learning on heterogeneous graph for drug…
2025年1月1日 · Deep Multiple Instance Learning is introduced in drug repositioning for the first time. Meta-path instances is elaborately designed and efficiently represented in proposed …
Fidele Ntie-Kang - ResearchGate
Current antiviral drug discovery efforts face many challenges, including development of new drugs during an outbreak and coping with drug resistance due to rapidly accumulating viral...
Congbao Kang - Principal Scientist - Experimental Drug …
Drug Discovery, EDDC A*STAR · Experienced Group Head with a demonstrated history of working in the research industry. Skilled in Structure Determination, Protein Structure, …
- 职位: Drug Discovery, EDDC A*STAR
- 位置: Experimental Drug Development Centre (EDDC)
- 500+ 连接数
Congbao KANG | Group Head | Ph.D. - ResearchGate
Small-molecule drugs are organic compounds affecting molecular pathways by targeting important proteins. These compounds have a low molecular weight, making them penetrate …
Application of Artificial Intelligence In Drug-target Interactions ...
2025年1月13日 · Kang et al. 42 (2022) utilized ProtBert, a BERT-based pre-trained model for amino acids, and RoBERTa pre-trained for encoding drug SMILES format, significantly …