Artificial intelligence approaches for the rational design of long acting thermoresponsive hydrogels for retinal drug delivery. Includes AI platforms used to generate intrinsic monomer properties, experimental characterization for target parameters, and generative AI for model development with the goal of selecting formulations that can maximize drug release duration.
Artificial intelligence approaches for the rational design of long acting thermoresponsive hydrogels for retinal drug delivery. Includes AI platforms used to generate intrinsic monomer properties, experimental characterization for target parameters, and generative AI for model development with the goal of selecting formulations that can maximize drug release duration.
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This research investigates the potential of AI-assisted descriptor engineering in optimizing long-acting ocular drug delivery systems using thermoresponsive hydrogels. Addressing the limitations of frequent injections, this study delves into the complex interplay of polymer chemistry and hydrogel performance. By employing AI models such as Gaussian Process Regression and PCA, the research identifies key formulation drivers, predicts polymer behavior, and enhances mechanistic understanding....