1、Click here or press enter for the accessibility optimised versionThe applicationof AI in nutrientbioavailability andprecision nutritionClick here or press enter for the accessibility optimised versionIntroductionWith nutrient bioavailabilityso crucial to productefficacy and health claimsacross the h

2、ealthy foodsand supplements sectors,we look to what artificialintelligence(AI)is bringingto this area of new productdevelopment along withits integration intoprecision nutrition.Click here or press enter for the accessibility optimised versionAI-drivenaccelerationWhile AI tools have been used inthe

3、nutrition space for morethan a decade,and someconsider them over-hyped as a productdevelopment aid,most companies,bethey suppliers or product formulators/marketers,are utilising AI in one way oranother,from precision nutrition modellingto ingredient discovery and development.Those already heavily in

4、vested in AI-lednutrition operations are predictablyevangelistic about what AI can do,whileothers are more sceptical,often citing therelative scarcity of clinical data for AIapplications and broader concerns abouthow accurate and trustworthy some AI-generated material and insights are.“AI is very go

5、od at reading lots and lotsand lots of text,”said Akash Shah,co-founder of the Bayer-owned,consumer-facing personalised nutrition firm Care/of,which is about to launch a proprietaryIngredientAI platform.1“Its also very goodIngredientAI platform.“Its also very goodat writing lots and lots and lots of

6、 text,butwhat its not good at is judgement.”IngredientAI will have an in-built fact-check system to mandate references forany statement it makes.“You want tomake sure that theres essentially qualityassurance in addition to the human in theloop,so that people arent blindly makingdecisions,”said Shah.