Machine Learning Identifies Potential Anti-Cancer Molecules in Food

The internet is rife with myths and articles making dubious claims about certain foods and their anti-cancer properties. We have all seen the articles of questionable scientific merit gracing social media suggesting that such-and-such foods can cure cancer, the majority of which are highly questionable. A new study offers a unique kind of insight into the potential true effectiveness of food in fighting cancer.

Investigating molecules in food with machine learning

There is no doubt that there are many foods that contain a myriad of active molecules, and perhaps some of these food myths may have a grain of truth to them. A team of researchers decided to do some real myth-busting and put a variety of bioactive molecules found in foods to the test to see if they might potentially help to combat cancer.

The research team chose to use the power of machine learning to help assess a total of 7,962 biologically active compounds encountered in dietary sources. These molecules were compiled into a database and fed into a machine learning algorithm, which determined that of these compounds, there were 110 molecules that appeared to have anti-cancer properties.

Read the full story.

Source: Life Extension Advocacy Foundation

 

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