AI-designed “hyperfoods” can possibly help prevent cancer

[jessonpagaduan]

TL;DR

Using graph-based ML methods (graph representation learning or geometric deep learning), this interesting analysis identifies which foods, i.e. "hyperfoods", contain ingredients that might work in a similar fashion as medical drugs in beating cancer and other diseases.

Article Link

https://towardsdatascience.com/hyperfoods-9582e5d9a8e4

Author

Michael Bronstein

Key Takeaways

• Tea and citrus fruits are examples of foods fulfilling both of these conditions: first, they contain multiple anti-cancer drug-like compounds identified by our ML model and confirmed from medical literature, and second, these compounds exert complementary anti-cancer effects.
• Besides the aforementioned tea and citruses, cabbage, celery, and sage are rather common, cheap, and broadly available hyperfoods. In a sense, this comes to no surprise, as many of these foods are advocated as healthy choices by nutrition experts and there is overwhelming evidence of their health benefits.

Useful Code Snippets

N/A

Useful Tools

N/A

Comments/ Questions

Enjoyed reading this article. Nice application of machine learning.

[khuyentran1401]

Wow, this is really cool. I was not even aware of this technique. Thanks for posting this