This paper elucidates the novel direction of food research in the era of the 4th Industrial Revolution characterized by personalized approaches. Since conventional approaches for identifying novel food materials for health benefits are expensive and time-consuming, there is a need to shift towards AI-based approaches which offer more efficient and costeffective methods, thus accelerating progress in the field of food science. However, relevant research papers in this field present several challenges such as regional and ethnic differences and lack of standardized data. To tackle this problem, our study proposes to address the issues by acquiring and normalizing food and biological big data. In addition, the paper demonstrates the association between heath status and biological big data such as metabolome, epigenome, and microbiome for personalized healthcare. Through the integration of food-health-bio data with AI technologies, we propose solutions for personalized healthcare that are both effective and validated.

Abstract
I. 서 론
II. 본 론
    1. 4차 산업혁명 시대 헬스케어 서비스 및 식이
    2. 맞춤형식이를 위한 식이-바이오 빅 데이터
    3. 맞춤형식이를 위한 식품분야 AI 확산
III. 요약 및 결론
감사의 글
Conflict of Interest
References

• 박수현(한국식품연구원 식품기능연구본부) | Soo-Hyun Park (Food Functionality Research Division, Korea Food Research Institute, Korea)
• 박재호(한국식품연구원 식품기능연구본부) | Jae-Ho Park (Food Functionality Research Division, Korea Food Research Institute, Korea) Corresponding author