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AI-driven Personalized Dietary Predictor Design Study

Many of the technologies we routinely use already, such as search engines (e.g., Google), streaming music services (e.g., YouTube Music), video services (e.g., Netflix), and online shopping sites (e.g., Amazon), are already identifying the personal characteristics of humans and predicting what the personal want, along with the vast amount of data from others. The power of this big data is changing many areas of human life.

Is there anything as important as eating as a subject of research to maintain a healthy life? The human body consists of what we eat, but how well do we know what to eat? Or how well do you know what's right for you?

The concept of precision health care is being strengthened, with emphasis on 4P—prediction, prevention, personalization and participation. Already, the market is adopting big data and artificial intelligence technology to propose and supply food tailored to individuals. Now these services need to be verified through academic research and strong scientific evidences.

We are about to study the Agro-Nutrient-Health association through the extensive data extracted from literature, public databases, and PubMed using Natural Language Processing (NLP). The efforts to understand the food complexity (foodome) and the individual's genome, epi-genome, transcriptome, proteome, metabolome, microbiome, and exposome are undergoing. These big data enable us to identify the pharmacology of foodome and the physiological characteristics of individuals and distinguish between responders and non-responders to specific nutrients through machine learning and artificial intelligence (AI).

The AI-driven personalized dietary predictor we are trying to implement can be applied to the development of personalized sustainable agro-medical products—medicine, oriental medicine, supplements, cosmetic, diet, smart farms, etc. We are collaborating with leading bio-tech companies and working hard to raise money for the research to design the AI-driven personalized dietary predictor.

We are always working on future-oriented keywords, agriculture, planet, environment, anthropocene, sustainability, food, bio, convergence, health, personalization, big data, AI, etc. We would like to share relevant social issues and trends with various people through the hosting of symposiums and contribute to the popularization of related disciplines.

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뉴지엄 마켓은 개인에게 맞추어진 건강한 장보기를 도와주는 서비스를 준비하고 있습니다. 합리적인 가격과 적당한 분량, 건강한 장내미생물의 서식과 필요 영양성분들을 기준으로 제품들을 선별합니다. 뉴지엄의 카카오톡 채널을 추가하고 이메일을 남겨주시면 앞으로 발행될 건강한 장보기 리스트 소식을 보내드립니다. 카카오톡 채널 추가 링크와 카카오뱅크 계좌 번호를 안내드

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