Implantable sensors provide insights into optimizing bone recovery

Scientists at the UO’s Phil and Penny Knight Campus for Accelerating Scientific Impact developed tiny implantable sensors capable of transmitting real-time data on bone healing. These devices provide continuous feedback on the mechanical properties of the bone, enabling researchers to monitor the healing process with precision. 

“Our data support early resistance rehabilitation as a promising treatment to increase bone formation, bone healing strength, and promote full restoration of mechanical properties to pre-injury levels,” explained Bob Guldberg, director of the Knight Campus and senior author of the study.   

The study focused on resistance running as a form of rehabilitation exercise, using specially designed brakes on rodent exercise wheels to simulate resistance training. Rats with femur injuries and implanted sensors underwent either standard exercise or resistance training. The sensors collected strain data, helping researchers understand the effects of exercise on bone recovery. 

After eight weeks, rats subjected to resistance training exhibited denser bone tissue and mechanical properties - such as stiffness and torque - comparable to uninjured bones. These results underscore the role of resistance training in promoting functional recovery without the need for biological stimulants. 

“One of the most impactful aspects of this work is that our resistance rehabilitation could regenerate the femur to normal strength within eight weeks without biological stimulants, and we’re really excited about that,” said Kylie Williams, lead author of the study. 

The findings highlight the challenges of tailoring rehabilitation exercises, as optimal intensity varies among patients. The “Goldilocks principle” of exercise - finding the right balance between too little and too much - remains a key consideration in recovery strategies.   

Though conducted in rodents, this research could pave the way for clinical applications in humans. Start-up company Penderia Technologies, based at the Knight Campus, is refining the sensor technology for human use. Future designs will include battery-free sensors and wearable monitors to capture personalized measurements based on injury type and severity. 

“We are hopeful this work can one day be translated to clinical settings, where these sensors can capture personalized measurements that account for injury type and severity to best inform rehabilitation decisions,” Guldberg said.   

MEDICA-tradefair.com; Source: University of Oregon