Machine Learning Predicts Noncalcified Coronary Burden in Psoriasis
Machine learning identifies factors related to obesity, dyslipidemia, and inflammation as predictors of noncalcified coronary burden in patients with psoriasis, a study finds.
Machine learning identifies factors related to obesity, dyslipidemia, and inflammation as predictors of noncalcified coronary burden in patients with psoriasis, a study finds.
A history of gestational diabetes is associated with increased risk for dyslipidemia.
In older adults, no significant changes in bone strength or structure were noted after 2 years of daily vitamin D supplementation.
Maternal prepregnancy overweight and obesity were found to be associated with lower IQ scores in boys in low-income, multiethnic populations.