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In the field of research and development for food and health foods, an increasing number of companies are facing the following challenges: • Difficulty in exploring new functional materials and differentiation themes, leading to a depletion of research topics. • While they collect information from academic conferences and papers, they struggle to translate this into research themes directly related to their products. • They remain limited to competing similar products or follow-up projects, failing to establish uniqueness. • Although there are nascent ideas, they struggle to elevate these to scientific hypotheses and to build the necessary evidence for internal approval. Behind this lies a "wall of execution" that cannot be overcome by traditional information gathering and research processes. In this webinar, we will introduce a new R&D approach to break through these challenges, combining hypothesis generation through discovery-oriented paper exploration AI with trial implementation and risk assessment based on insights from human trials in food research. Specifically, we will start from our own materials and existing research to identify hypotheses related to functionality expansion that are not easily visible through keyword searches, and examine whether these hypotheses can be connected to human trials and implemented as research plans. This will allow us to redefine the potential of existing materials as "next value" and translate them into scientifically verifiable research themes, thereby providing a pathway for functional development and differentiation.