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The advancement of artificial intelligence and machine learning algorithms means we can use large pools of genetic data to identify potential risk factors and disease-causing genes for multiple sclerosis and other autoimmune diseases. This author shares a three-pronged approach to analyzing data for AI algorithms, pitfalls to avoid, and AI for silico modeling.
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