Personalised Nutrition
Personalised nutrition combines biometrics, microbiome and AI with multiple direct-to-consumer platforms in market. The session covers continuous glucose monitoring (CGM) in non-diabetics, ZOE and January AI evidence base, microbiome-guided diet recommendations, nutrigenomics applications, AI-driven recommendation engines, and the regulatory landscape for personalised-nutrition health claims. Discussion addresses the evidence-gap between personalised-nutrition marketing and clinical outcomes, data privacy and consumer-protection considerations, the role of personalised nutrition in clinical practice (dietitian-supervised vs DTC), cost and equity in personalised-nutrition access, and emerging biomarker categories including continuous biomarkers beyond glucose.
- CGM in non-diabetics
- ZOE and January AI evidence
- Microbiome-guided diets
- Nutrigenomics
- AI recommendation engines
- Data privacy and protection
- Dietitian-supervised vs DTC
- Continuous biomarker frontier
Explore the full GSFS 2027 program
- 01Food Safety & Microbiology
- 02Novel Protein Sources
- 03Functional Foods & Nutraceuticals
- 04Food Packaging & Shelf Life
- 05Sensory Science & Consumer Research
- 06Food Engineering & Processing
- 07Nutrition & Public Health
- 08Sustainable Food Systems
- 09Food Informatics & AI
- 10Cultivated Meat & Cellular Agriculture
- 11Precision Fermentation
- 12Allergen Management
- 13Food Fraud & Authenticity
- 14Plant-Based Nutrition
- 15Ultra-Processed Foods
- 16Climate-Smart Agriculture
- 17Food Allergies & Intolerances
- 18Postharvest & Cold Chain
- 19Dairy Innovation
- 20Beverage Science
- 21Bakery & Confectionery
- 22Meat & Poultry Science
- 23Aquaculture
- 24Insect Proteins
- 25Algae & Marine Foods
- 26Probiotics & Postbiotics
- 27Dietary Fiber
- 28Culinary Science
- 29Food Education
- 30Food Service Innovation
- 31Indigenous & Heritage Foods
- 32Spices & Bioactives
- 33Food Waste Reduction
- 34Pet Food Science