3 things to understand how AI might help develop new, cost-effective drug treatments. Artificial intelligence success won't happen fast, but industry is well-positioned.
It may be years until the costs and timelines of drug discovery decrease measurably, particularly because some estimates are that more than 20% of the cost is from clinical trials which are necessarily manual. And I worry that once the shine wears off of AI, interest from those outside of the lab will dissipate. Investors, governments and journalists will play key roles in funding, regulating and publicizing how AI is changing drug discovery.
Advanced research techniques produce ever-larger amounts of information. Genomics research is expected to generate between twp and 40 exabytes of data within the next decade. worth of storage.) And the velocity of the growth of that data is only increasing. This includes designing data collection protocols with future reuse in mind. The R&D process for new treatment modalities, such as monoclonal antibodies, mRNA vaccines, and gene editing is costlier and riskier than for traditional drugs.
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