Nuritas is an AI startup based in Ireland that combines artificial intelligence with genomics to make some breakthrough discoveries in healthcare and sports nutrition. Nuritas states that their mission is to tackle the healthcare challenges facing the world of today as well as the world of tomorrow. They seek to improve the lives of billions of people around the globe.

Nuritas has stated, that they intend to discover 5 new drugs by 2021 using artificial intelligence. They have already used AI to discover a novel ingredient used to treat inflammation which is expected to reach sports nutrition products by the end of 2019. This ingredient, which consists of bioactive peptides was discovered as part of a collaboration with BASF, a German chemical company. Traditional methods of discovering new ingredients tends to take between 5-7 years, but using AI, it was accomplished in only 2.


A new product called PeptAIde will hit the market late 2019. Information about the specific ingredient discovered is very limited, however, the peptides it consists of are molecules in plants that can be used as ingredients to improve health. These subtle bioactive molecules are hard to find. This is where AI comes into play. The driving force behind the Nuritas AI platform is a series of prediction algorithms. These algorithms are able to predict which novel food-derived bioactive peptides deliver the pre-determined target. This removes thousands of hours of tedious trial and error by human researchers. Once the AI targets a specific peptide it is unlocked and further testing is performed.

The CEO of Nuritas Dr Emmet Browne says “Harnessing the power of AI to significantly improve human health through new discovery is no longer a vision for the distant future.” “We engage in truly collaborative partnerships in the preventative consumer healthcare and pharmaceutical spaces, and, to that end, we look forward to continuing the groundbreaking collaboration with BASF, a renowned global innovator in nutrition and chemistry.”

AI in healthcare

The future of AI in healthcare. Though the graphic leaves out the AI doctor. For most, it is too soon to imagine such a thing.


Predictive Analytics in healthcare using machine learning and deep learning in healthcare are rapidly becoming the most-discussed and hyped topics. Companies uses it to discover new ingredients but it can be used in a whole host of different ways. These predictive analytics first start with huge data sets. Without it, the algorithms cannot be trained. Then there are 3 basic steps of predictive modeling that is generally followed. First, the problem is carefully defined and the data is sorted through to make sure everything is relevant. The next step involves choosing a model and testing it with a different data set to either validate or invalidate your method. Then you run the model in a real world setting.


It takes human researchers a painstakingly long time to discover new chemicals and ingredients. It can take even longer to synthesize them into drugs and get them through the FDA and human trials. There is typically a 20 year lag time between proof of concept in the laboratory and a new treatment hitting the market. What Nuritas has done, which is drastically cutting down the discovery time, is the first step towards pumping out newer and better treatments in less time. This leads to practical cures for a wide array of ailments hitting the market sooner than before which in turn can lead to a healthier generation.

It is important however to highlight the fact that these new ingredients must be thoroughly analyzed to ensure that they actually treat the ailment in question and don’t merely mask the symptoms. Drugs that do the former have plagued the health care industry for decades and only seek to generate profits as opposed to making people healthier. But it is also important to note that armed with AI, researchers will have a far easier time discovering the proper ingredients and chemicals to treat everything from the common cold to cancer. The days of ineffective drugs hitting the market will soon be behind us thanks to artificial intelligence technology.

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