A major challenge in self-powered wearable sensors for health care monitoring is distinguishing different signals when they occur at the same time.
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A biomaterial that can mimic certain behaviors within biological tissues could advance regenerative medicine, disease modeling, soft robotics and more, according to researchers at Penn State.
A major challenge in self-powered wearable sensors for health care monitoring is distinguishing different signals when they occur at the same time.
Up to half of all people living with Alzheimer’s Disease in Ireland remain undiagnosed. Now, a new blood test may have the potential to transform...
Scientists from Penn State and Hebei University of Technology have created an advanced self-powered sensor that could change how doctors monitor...
In the world of soft robotics and wearable technology, sheet-based fluidic devices are revolutionizing how lightweight, flexible and multifunctional...
Researchers have developed a regenerative medicine method that successfully grafts myoblasts onto healthy muscle, boosting mass in mice by 10%.
Researchers at Texas A&M University College of Medicine have developed a new therapy that may slow the progression of Alzheimer’s disease by several...
Daniel J. Preston, corresponding author and assistant professor of mechanical engineering, and Sofia Urbina, co-first author of the study, second-year...
Graft-versus-host disease (GVHD) is a common and severe complication that occurs after stem cell transplantation, where the donor's immune cells...
A team of AI and robotics researchers at Carnegie Mellon University, working with a pair of colleagues from technology company NVIDIA, has developed a...
A major challenge in self-powered wearable sensors for health care monitoring is distinguishing different signals when they occur at the same time....