Sajjad Nematzadeh

Machine learning-assisted design of a novel crocin-loaded poloxamer 407/hyaluronic acid in situ forming hydrogel for endometriosis treatment: in vitro characterization and in vivo efficacy evaluation

Our study focused on fabricating and characterizing a crocin in situ forming hydrogel for endometriosis treatment. An artificial neural network (ANN)-based machine learning (ML) approach was employed to determine the effects of poloxamer 407 (P407) and hyaluronic acid (HA) concen...