People bounce from food to food, nothing to it… from the Paleo Diet to the Ketogenic Diet to the Atkins Diet, and then back to where they started. U.S. News has an article on the best foods overall.

1. Arti cial Intelligence in Nutrition
venkat vajradhar
Oct 12, 2019 · 3 min read
People bounce from food to food, nothing to it… from the Paleo Diet to the Ketogenic
Diet to the Atkins Diet, and then back to where they started. U.S. News has an article
on the best foods overall.
One day diet is said to solve all of your health problems, but the next day they are fatal.
Not only is there a contradiction in the diet, but foods like eggs, coffee, and wine go
back and forth between being labeled as healthy and unhealthy. So now people are
looking for AI services in Diet plan
Customers are surprised when the results are consistent so that they can finally find a
diet that works for them with the help of Artificial Intelligence. But, of course, our
bodies are unique so food affects us on an individual level.
Unfortunately, most of the studies are observational, based on dietary logic, or the
patient’s memory is very inaccurate. To understand the health dynamics of personal

2. diversity and the implementation of personalized nutrition, efforts should focus on
creating attendant practices that monitor the individual’s health responses to food.
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Initially, studies were wrong because of the difficulty in obtaining such accurate and
large amounts of data, which prevented researchers from using machine learning.
Cardiologist, Eric Topol, participated in the Artificial Intelligence Diet launch earlier
this year, to live a long and healthy life.
“I participated in a two-week experiment, using a smartphone app to track every
morsel I ate, every drink I drank, and every medication I took, as well as how much I
slept and exercised.”
For more technical purposes, he wears a blood glucose monitor, and researchers
analyze the different strains that make up his gut microbiome. Topol received a
personalized report card for foods rated from A + (good) to F (bad) based on his
analysis.
“In the Sweets section: Cheesecake is given an A grade, but whole wheat figs are C —
in fruits: strawberries. A +, but grapefruit C. legumes: mixed nuts A +, but Veg
burgers are a C. Needless to say, I know healthy food. It didn’t match what I thought. ”-
Eric Topol
His results also include a searchable database on glucose estimates for 100,000 foods
and beverages, including specific dietary instructions for preventing glucose spikes.
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There are many companies in the experimental phase that are exploring the vast
capabilities of machine learning about improving existing applications.
Some other nutritional studies and applications use deep learning to process photos of
the food taken by the participants to know exactly what they are eating to avoid
logging the data manually. For example, the application av.
Ava offers nutrition and personalized coaching based on a person’s diet and weight-
related chronic conditions.
So let’s take a deeper look at how we create this personalized diet…

3. To implement these techniques in public, many companies are promoting a new
science called “nutrigenomics”.
Nutrigenomics: a scientific study of nutrition and the interaction of genes, particularly
about disease prevention or treatment. — Oxford Dictionary
Combining Nutrigenomics and Artificial Intelligence is key to personalized nutrition.
This requires filtering large amounts of data. Billions of pieces of data about every
person considering all aspects of that person’s lifestyle — health, anatomy, family
history, physiology, environment, medical conditions, medication.
But, to obtain more accurate results in the future, glucose levels and other
anthropometrics such as heart rate and blood pressure responses need to be analyzed
using machine learning.
Between the technologies we have today, we can do this. We can pull multiple types of
data from devices like health apps and smartwatches. For example, Apple owns
extensive data from Apple Watches, iPhone apps, and Apple computers. All of this
makes customized nutrition very feasible.
P.VenkatVajradhar
Author
Health Arti cial Intelligence Machine Learning
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