Polymers
Biocompatibility
Research
Artificial intelligence and machine learning method offer a path to
a more accurate prediction of the performance of polymeric drug
delivery systems.
Detecting
biocompatible, safe (generally recognized as safe (GRAS) for
parenteral administration, or FDA approved), and there are a number
of variables that need to be optimized.
Using methods
which are able to create complex models based on the polymer
composition, functionalization, size and shape of the nanoparticles,
synthesis conditions, etc. to predict the drug release rates of the
corresponding polymer-drug pairing.
Creating
a service for drug developers for predictive analysis of their
therapeutics to match them with the best polymeric drug delivery
system.
Choosing
the right polymer system for the delivery of a particular drug.