How Data Science Is Revolutionising Food Science

Can data science drive advances in food safety? Panellists in the “Data Revolution: Is Food Safety Sitting on the Sidelines?” session tackled big questions about big data in a wide-ranging IFT SHIFT20 conference conversation.

COVID-19 and Food Safety

One of the less obvious effects of the COVID-19 pandemic has been its impact on the traditional food supply chain. From initial lockdowns that brought about shortages to later normalisation of the pandemic measures that drove a significant shift from in-person shopping to digital, online channels.

Food safety for infants – Getting it right

SAFFI (SAfe Food For Infants in the EU and China) targets food for EU’s 15 million and China’s 45 million children under the age of three. Project aims at developing an integrated approach to enhance the identification, assessment, detection and mitigation of safety risks raised by microbial and chemical hazards all along EU and China infant food chains.

Latest NHANES data and the right tools to understand it

Properly harnessing available data requires innovative and validated solutions that circumvent hype and buzzwords and instead focus on using advanced data access, analytics and predictive modelling harmoniously. Such solutions can then be used to underpin important safety and risk assessment decisions made by the industry and governments.

Raising COVID-19 Resilience Using Health Boosting Ingredients

As the COVID-19 pandemic continues to put a strain on our lives, people are forced to change everyday habits to remain healthy. One positive outcome is that healthy living is now top priority, and people are actively looking to find ways to boost their immune system through exercise and diet.

Healthy ♥ Chocolate

Before your inbox gets filled with heart emojis and other love related imagery ahead of Valentine’s Day, now is the perfect time to consider what you’re doing to keep your real heart healthy.

AI and Food – What can it do for you?

Creme Global Head of Data Modelling and Statistics, John O’Brien, offered his insights for the discussion paper ‘AI & Predictive Analytics for Food Risk Prevention’, published as part of the EU-funded digital transformation initiative called Big Data Grapes.

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