Top AI in Pharma & Healthcare Conferences in 2022 You Can’t Miss
(Last updated: 27/07/2022) -- for sponsorships and media partnerships, reach out at info@biopharmatrend.com
Artificial intelligence (machine learning and deep learning, to be more specific) has become widely discussed topics in the area of life sciences and healthcare over the last several years and the excitement keeps growing. 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 trial 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 the pharmaceutical industry
What should be done to harness practical and measurable value out of machine learning / AI?
How should it be done and what are the timelines for getting returns on investments?
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In order to answer the above questions, and myriads of other questions about the application of AI in the pharmaceutical / healthcare field, a growing number of specialized conferences and symposia are organized with the aim of achieving clarity in this hype-prone scientific industry.
It is a good time to start planning schedules for the second half of 2022, so here we are summarizing some of the most valuable events that you might not want to miss to start exploring this area by talking to specialists and receiving first-hand insights and action ideas.
AI Driven Drug Discovery Summit
Held in Boston on 16-17 August, the inaugural AI Driven Drug Discovery Summit will highlight key approaches to implementing novel AI technologies to expanding datasets. With this landscape rapidly evolving, the need to determine where and how AI can most add value has never been stronger. By uniting leaders from pharma, biotech, AI-technology companies and academia, this forum allows you to create a clear strategic vision and ambition regarding the use of AI to optimize drug discovery.
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