Design of experiment and machine learning inform on the 3D printing of hydrogels for biomedical applications.

In the biomedical field, 3D printing has the potential to deliver on some of the promises of personalized therapy, notably by enabling point-of-care fabrication of medical devices, dosage forms and bioimplants. To achieve this full potential, a better understanding of the 3D printing processes is necessary, and non-destructive characterization methods must be developed. This study proposes methodologies to optimize the 3D printing parameters for soft material extrusion.

Size Exclusion of Radioactive Polymers (SERP) informs on the biodegradation of trimethyl chitosan and biodegradable polymer nanoparticles in vitro and in vivo.

Preparation of drug delivery systems and nanomedicines necessitates the use of biocompatible excipients that are readily eliminated from the body. The systematic preclinical development of novel materials requires tools to evaluate their pharmacokinetics, biodistribution and excretion. Herein, we propose a technique called Size Exclusion of Radioactive Polymers (SERP) to trail the disposition of a radiolabeled polymer and its nanoparticles using chromatography in the presence of complex biological media such as blood, urine and feces.