Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study, ...
Objective: To investigate the associations of maternal and grandmaternal smoking before, during, and after pregnancy with childhood asthma. Design, Setting, and Participants: We conducted a ...
Background and aims: Physical growth in infants is the most important health indicator. Many factors influence infants' physical growth. Because of complete dependence of infants to their mothers and ...
Scientists at the UC Davis MIND Institute used machine learning to identify several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study (“Risk ...
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