AI in Drug Discovery, Biomarker Development and Advanced R&D
05 April 2022, 5 PM GMT
The primary goal of this webinar was to give a complete picture of the industry environment in terms of AI usage in drug discovery, clinical research, and other elements of pharmaceutical research and development. This comprehensive overview presented trends and insights in the form of mindmaps and infographics, and benchmarked the performance of key players who shape the industry's space and relationships. This webinar was designed to guide you through what is going on in this industry right now and potentially predict what will happen next.
The keynote speeches highlighted the fast-paced market dynamics and the overall increase of investment and business development activities in the field of pharmaceutical AI. The lists of AI-biotech companies, biotech investors, and pharma
organizations have been expanded to include new entities. A new list of leading companies has been added to outline the pharmaceutical industry's growing interest in AI and ML technologies. Along with investment and commercial trends, the webinar included technical details on some of the most recent advancements in AI research and implementation.
This 195-page “Artificial Intelligence for Drug Discovery Landscape Overview, Q1 2022” report marks the installment in a series of reports on the topic of the Artificial Intelligence (AI) application in pharmaceutical research industry that DPI have been producing since 2017.
Deep Pharma Intelligence held a virtual event (November 23), which was a unique opportunity share our findings from a unique market study revealing R&D platforms for developing therapeutic cancer vaccines, the key players in each category, the science behind the development, and case studies illustrating opportunities and challenges of each research strategy.
On November 15th - 17th 2021 Deep Pharma Intelligence (DPI) hosted three virtual events that were focused on key industry trends, activities, and investing takeaways in the artificial intelligence (AI) in the Pharma sector.