- Researchers at Cleveland Clinic are exploring the use of machine learning, a subset of artificial intelligence, to personalize diets for individuals with gastrointestinal ailments such as irritable bowel syndrome (IBS).
- A small pilot study conducted in Turkey demonstrated the effectiveness of using ML to tailor diets for individuals with IBS. This approach improved symptoms more effectively compared to standard IBS diets.
- Machine learning techniques were crucial in analyzing large amounts of data, which led to identifying patterns beneficial for customizing diets.
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