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Sogand Mostafavi

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Open access Sep 2026

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) concentrations on the gelation behavior. The o...

Mohadeseh Heidari, S. Rabbani, Sogand Mostafavi et al. · 0 citations

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