Russia Opens New Frontiers in 3D Printing of Biocompatible Structures

Russian scientists have used artificial intelligence to identify key parameters for tissue engineering, paving the way for breakthroughs in regenerative medicine and personalized healthcare.

A team of Russian researchers has trained artificial intelligence to accurately determine the fiber diameter and material strength needed for regenerating bone, nerve, and other types of tissue. The digital breakthrough has outperformed traditional forecasting methods, eliminating the need for costly experiments.

Tests showed that the neural network can reliably predict fiber diameter and provide trustworthy tensile strength forecasts. As a result, scientists no longer need to spend time and resources searching for the ideal biocompatibility parameters—AI now handles that task.

Researchers emphasize that the method can be scaled to all polymers used in medical devices. The most promising application is in 3D printing of biocompatible structures. The discovery also holds potential for tissue engineering and personalized medicine, where individual patient characteristics are factored into optimized diagnostics and treatments.