BiopharmaTrend.com

Updated: 14.12.2018. Newly added content is marked in the text with "Update" sign.

The idea of using artificial intelligence (AI) to accelerate drug discovery process and boost a success rate of pharmaceutical research programs has inspired a surge of activity in this area over the last several years. In 2018, things are getting even “hotter” with the increase in the amount of partnerships, investments and other important events, summarized and grouped below into “mini-trends”.

Machine learning and artificial intelligence have become widely discussed topics in the area of life sciences and healthcare over the last several years. While a lot of pharmaceutical companies and healthcare organizations express considerable interest in possible new opportunities, associated with the use of artificial intelligence for early drug discovery, clinical trials optimization, and business intelligence, a considerable gap still exists when it comes to understanding new technologies by pharmaceutical professionals and leaders. The key questions here are these:

• What machine learning / AI can and can’t do for pharmaceutical industry

• What should be done to harness practical and measurable value out of machine learning / AI?

• How it should be done and what are the timelines for getting returns on investments? 

(Last updated: 23.08.2018)

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