AI Medical Compendium Topic

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Drug Industry

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[Pharma industry reinvents itself in the turmoil. Part 1. Challenges].

Revue medicale de Liege
The pharmaceutical industry faces, as many other public and private sectors, a significant deficit in trust (medication considered too expensive, not always readily available, even if it is deemed essential, lack of financial transparency). Moreover,...

Digitizing the Pharma Neurons - A Technological Operation in Progress!

Reviews on recent clinical trials
BACKGROUND: Digitization and automation are the buzzwords in clinical research and pharma companies are investigating heavily here. Right from drug discovery to personalized medicine, digital patients and patient engagement, there is great considerat...

[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
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...

Survey of Machine Learning Techniques in Drug Discovery.

Current drug metabolism
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...

Developing Deep Learning Applications for Life Science and Pharma Industry.

Drug research
Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also e...