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IBM claims its AI can improve neonatal outcomes and predict the onset of Type 1 diabetes

IBM this week presented research investigating how AI and machine learning could be used to improve maternal health in developing countries and predict the onset and progression of Type 1 diabetes. In a separate work, a team from IBM analyzed data across three decades and four countries to attempt to anticipate the onset of Type 1 diabetes anywhere from 3 to 12 months before it’s typically diagnosed and then predict its progression. They found that the number of births in the past 5 years was positively correlated with neonatal mortality while household size was negatively correlated with neonatal mortality. Furthermore, they claimed to have established that mothers living in smaller households have a higher risk of neonatal mortality compared to mothers living in larger households, with factors such as the age and gender of the head of the household appearing to influence the association between household size and neonatal mortality. Here’s hoping that the IBM researchers, should they choose to eventually deploy its models, heed their advice.

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