Feb 12, 2019
This episode presents a review of the current approaches to data management and application within the drug development and research setting, highlighting major critical challenges and emerging solutions for organisations that are determined to harness big data and machine learning.
Data-driven companies that use integrated and advanced analytics outperform their competitors in every sector outside of the pharmaceutical industry. To compete in an increasingly crowded commercial environment, pharmaceutical and life science companies must gain a greater understanding of the wide-ranging implications of big data and machine learning.
These innovations can be applied effectively to drive drug discovery, power research and ensure a sustainable future.
Original article by Dr Satnam Surae
If you'd like to view the original article then follow the link below:
You can also download the original article pdf here:
https://www.ddw-online.com/media/32/131038/(8)-data-driven-transformation-in-drug-discovery.pdf
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