The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action

In order to save resource of active pharmaceutical ingredients and excipients, in the early stages of research, when planning an experiment, it is advisable to use data of the predicted and experimental physicochemical properties stored in different aggregation databases. The information found will...

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Autori principali: B. S. Burlaka (Autore), I. F. Bielenichev (Autore)
Natura: Libro
Pubblicazione: Zaporozhye State Medical University, 2021-07-01T00:00:00Z.
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