University of Mississippi and Colorcon build AI database for 3D printed drugs

Researchers at the University of Mississippi, together with international company Colorcon, have developed an artificial intelligence-powered database that is intended to help pharmacies produce 3D printed medications more efficiently.

The project, led by Mo Maniruzzaman, chair and professor of pharmaceutics and drug delivery at the University of Mississippi, set out with the goal of constructing an AI learning algorithm and database that functions as a reference guide for drug manufacturing using 3D printing technology.

“Essentially, we’re creating a bank of information, a reference book for drug manufacturing,” said Maniruzzaman, who also said that the platform could benefit similar companies and pharmaceutical manufacturers.

The research looked into pairing active pharmaceutical ingredients with appropriate inactive ingredients, known as excipients, such as binders, fillers and coloring agents. The AI database was designed to let pharmacists select compatible materials and direct 3D printers to manufacture customized medications accordingly.

The researchers highlighted 3D printing’s ability to personalize medications, including producing smaller doses for children or timed-release capsules.

“If we can print on-demand medication in pharmacies, that will save millions of dollars,” added Bashetty.