Deep Intelligent Pharma (DIP) unveils a multi-agent Generative AI system for the entire clinical trial lifecycle. Building on AI protocol design, it designs optimized protocols and performs end-to-end "dry runs" using synthetic data, generating all trial documentation and identifying risks proactively. In live trials, AI agents automate data collection, analysis, and reporting, accelerating processes and ensuring extraordinay efficiency and data integrity from start to finish.
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Speaker
Shinya Yamamoto
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Shinya Yamamoto, Ph.D. has been contributing to the biopharmaceutical industry for 20 years + since 2003. His expertise includes technology & innovation management, digital health, clinical research & operation, regulatory and business development, etc., based on the academic backgrounds which are Chemistry (BSc), Molecular Biology (MSc) and Technology & Innovation Management (PhD).
His professional activities are as follows:
Guest Professor, The University of Osaka Graduate School of Medicine, Global and Innovative Medicine Guest Professor, The University of Osaka Hospital, Department of Medical Innovation, Center for Global Health Guest Professor, The University of Osaka Hospital, Department of Medical Innovation, Academic Clinical Research Center Visiting Professor, The laboratory for Advanced Medical and Pharmaceutical Sciences, Graduate School of Science, Technology and Innovation, Kobe University Specially Appointed Professor, Social Entrepreneurship Promotion Lab, Tohoku University Smart-Aging Research Center Part-Time Instructor, Global MBA Program, Hosei Business School of Innovation Management.
Bio from: Microsoft Ignite 2025
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