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1、Artificial Intelligence for Drug DiscoveryLandscape OverviewQ3 2022www.deep-pharma.tech2Deep Pharma IntelligenceAI for Drug Discovery Infographic Summary and Mind Maps3Executive Summary17Application of AI for Advanced R&D23Business Activity:Key Trends28Industry developments:Challenges and Forecasts3

2、1Business Activity:Overview33Leading Companies by Amount and Stage of Funding3450 Leading Investors in Pharmaceutical AI 40Big Pharmas Focus on AI48AI in Pharma Publicly Traded Companies57Top Publicly Traded Companies Related to AI-Pharma79AI for Advanced R&D:Applications and Use Cases89Top AI Break

3、throughs 2018-202190Computational Methods Used by the Most Advanced AI Companies9615 Notable R&D Use Cases of AI Application in Biopharma104Industry Developments 2020-2022142Key Takeaways148Appendix:List of Entities154Overview of Proprietary Analytics by Deep Pharma Intelligence185Disclaimer190This

4、135-page Artificial Intelligence for Drug Discovery Landscape Overview Q3 2022 report represents the eleventh issue of market analytics focused on the Artificial Intelligence(AI)application in the pharmaceutical research industry.The primary goal of this series of reports is to give a complete pictu

5、re of the industry environment in terms of AI usage in drug discovery,clinical research,and other elements of pharmaceutical research and development.This overview highlights recent trends and insights in the form of helpful mind maps and infographics and gauges the performance of prominent players

6、who shape the industrys space and relationships.It can help the reader comprehend what is going on in the sector and potentially predict what will happen next.Since the last edition,data has been significantly updated to reflect the fast-paced market dynamics and an overall increase in pharmaceutica