Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...
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