Identification of endocrine-disrupting chemicals targeting key OP-associated genes via bioinformatics and machine learning
Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen considerable progress in diagnosis and treatment over the past few decades.However, the intricate interplay between genetic factors and endocrine disruptors (EDCs) in the pathogenesis of OP Glitter remains inadequately elucidated.The objective of this res