AIMC Topic: Drug Industry
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[Studies on the methodology for quality control in Chinese medicine manufacturing process based on knowledge graph].
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
Dec 1, 2019
According to the requirements for developing the quality control technology in Chinese medicine( CM) manufacturing process and the practical scenarios in applying a new generation of artificial intelligence to CM industry,we present a method of const...
Hunting for New Drugs with AI.
Nature
Dec 1, 2019
Humans
Artificial Intelligence
Drug Design
Drug Discovery
United States
Machine Learning
Male
Drug-Related Side Effects and Adverse Reactions
Parkinson Disease
United States Food and Drug Administration
Cytochrome P-450 Enzyme Inhibitors
Prostatic Neoplasms
Drug Industry
Cytochrome P-450 Enzyme System
Drug Approval
How Artificial Intelligence Will Change Medicine.
Nature
Dec 1, 2019
Survey of Machine Learning Techniques in Drug Discovery.
Current drug metabolism
Jan 1, 2019
BACKGROUND: Drug discovery, which is the process of discovering new candidate medications, is very important for pharmaceutical industries. At its current stage, discovering new drugs is still a very expensive and time-consuming process, requiring Ph...
Dilemma over AI and drug patenting already under debate.
Nature
Aug 1, 2018
How artificial intelligence is changing drug discovery.
Nature
May 1, 2018
Experimenting with blockchain: Can one technology boost both data integrity and patients' pocketbooks?
Nature medicine
Apr 10, 2018
Promises of Machine Learning Approaches in Prediction of Absorption of Compounds.
Mini reviews in medicinal chemistry
Jan 1, 2018
The Machine Learning (ML) is one of the fastest developing techniques in the prediction and evaluation of important pharmacokinetic properties such as absorption, distribution, metabolism and excretion. The availability of a large number of robust va...
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