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Could Precision Nutrition Be a Game Changer for Health?

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April 20, 2022
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Could Precision Nutrition Be a Game Changer for Health?
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Would you count on a single set of garments to suit everybody? In fact not. Equally, would you count on a single food regimen to work for everybody? Once more, that is not real looking. Folks differ considerably on the subject of their environment, medical historical past, day by day actions, physique composition, biology, genetics, and the numerous different elements affecting food regimen and well being.

Society wants to maneuver away from the one-diet-fits-all method that is been used for years and towards precision nutrition, an rising discipline that includes tailoring diets so that they higher match completely different folks’s circumstances and traits. Pc expertise and synthetic intelligence (AI) might be central to attaining extra widespread precision nutrition.

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Why Do We Want AI for Precision Vitamin?

A fancy system of genetic, organic, behavioral, social, environmental, and financial elements and mechanisms affects and is affected by one’s food regimen and well being. A affected person’s metabolism might be influenced by their consuming behaviors, sleep patterns, and stress ranges, which in flip might be affected by their work, setting, and social circles. Their threat of creating heart problems might be associated to not solely what they eat but additionally their genetics, bodily exercise, dwelling state of affairs, comorbid medical situations, and a bunch of different elements.

People can sometimes determine easy direct cause-and-effect relationships, however we tend to struggle after they change into extra complicated. Pc-aided approaches like AI might rework vitamin by serving to make sense of enormous quantities of knowledge and patterns which might be too complicated for most individuals to grasp.

Nevertheless, the influence of AI will depend upon how it’s really used. When utilized in the precise method, AI may very well be a constructive sport changer, serving to to make vitamin tips and proposals far more exact and individually tailor-made in ways in which enhance food regimen and well being. When used inappropriately, nevertheless, it might make issues worse, resulting in inappropriate suggestions, the introduction of bias, and the worsening of already current disparities in vitamin and well being.

How Would the AI Be Used?

Whereas it is lately change into more and more modern to make use of, AI is a really broad and obscure time period encompassing a variety of approaches and strategies. The Oxford Dictionary defines AI as “the idea and growth of pc programs in a position to carry out duties usually requiring human intelligence, comparable to visible notion, speech recognition, decision-making, and translation between languages.”

Due to this fact, saying that you’re utilizing AI to deal with an issue is type of like saying you’re utilizing computer systems to deal with an issue. Or that you’re going to use drugs to deal with a well being situation. That alone does not say a lot.

So, once you hear that AI is getting used, dig deeper. Ask how it’s particularly getting used. How precisely is AI serving to disentangle the complicated programs concerned?

Together with Diana Thomas, PhD, a professor of arithmetic at West Level, I co-lead the brand new AIMINGS (Synthetic Intelligence, Modeling, and Informatics, for Vitamin Steering and Programs) Middle that can function the AI Center for Precision Nutrition and Health. Our cost is to develop new AI algorithms to assist higher tailor diets to completely different folks’s circumstances and traits. To do that, we might be incorporating the rules and practices of programs science, an interdisciplinary discipline that entails creating and implementing approaches and strategies to better understand and address complex systems.

What Would possibly This Look Like in Apply?

For instance you need to develop an AI-based app that helps sufferers shed some pounds. If this app merely targeted on a affected person’s present peak and weight, their microbiome, and some different measures from blood exams comparable to their blood sugar, it might supply impractical recommendation and even the incorrect conclusions. In any case, it will be fully ignoring the complicated programs outdoors their physique and of their environment. There is a huge distinction between somebody dwelling a cushty and already in any other case wholesome life in a mansion with a private chef and a health coach versus somebody who’s working three completely different irritating jobs, living in a high crime neighborhood, and unable to afford contemporary fruit and veggies.

You’d additionally need to know particularly how the app is characterizing the connection between a selected issue, such because the composition of the affected person’s microbiome, and the way they are able to shed some pounds. Does the algorithm oversimplify this relationship? Did the builders of the app merely observe a small group of individuals and look for easy correlations? Have been these folks much like your affected person and in what method? Making an attempt to generalize relationships discovered inside different folks, who could also be very completely different than your affected person, would in essence be making an attempt to power a one-size-fits-all method otherwise.

We’re at a key inflection point in society. Years of analysis have helped scientists understand the complexity of the relationships between vitamin and well being. In the meantime, we now have extra computer-based approaches and far more info obtainable, with so many individuals utilizing wearables, the Web, and different applied sciences. Weight-reduction plan and vitamin apps have already began to emerge. Nevertheless it’s unclear what number of of those are actually helpful and what number of may very well be deceptive.

AI definitely has the potential to rework vitamin and well being, relying on how it’s used. The query is whether or not this transformation might be constructive or unfavorable.

Bruce Y. Lee, MD, MBA, is a professor of well being coverage and administration on the Metropolis College of New York (CUNY) Graduate Faculty of Public Well being and Well being Coverage; govt director of Public Well being Informatics, Computational, and Operations Analysis (PHICOR) and the Middle for Superior Expertise and Communication in Well being (CATCH); co-PI of the AIMINGS Middle; and founder and CEO of Symsilico.

He’s internationally acknowledged for his work creating AI, computational fashions, and different computer-based approaches to assist health-related resolution making. He additionally writes extensively for the overall media, together with protecting well being and healthcare as a senior contributor for Forbes and sustaining his “A Funny Bone to Pick” weblog as a regular contributor for Psychology Today.



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