See also stories tagged with Tissue engineering
A new study uncovers how fine-tuning the interactions between two distinct network-forming species within a soft gel enables programmable control over its structure and mechanical properties. The findings reveal a powerful ...
Over time, scar tissue slows or stops implanted bioelectronics. But new interdisciplinary research could help pacemakers, sensors and other implantable devices keep people healthier for longer.
Mitochondrial diseases affect approximately 1 in 5,000 people worldwide, causing debilitating symptoms ranging from muscle weakness to stroke-like episodes. Some of these conditions result from mutations in mitochondrial ...
An engineered gut microbe can detoxify methylmercury, reducing the amount that passes into the brain and developing fetuses of mice fed a diet rich in fish, UCLA and UC San Diego's Scripps Institution of Oceanography scientists ...
Bio-batteries constructed by electroactive microorganisms have unique advantages in physiological monitoring, tissue integration, and powering implantable devices due to their superior adaptability and biocompatibility. However, ...
Scientists have discovered, for the first time, how root cells respond to their complex soil environment, revealing that roots actively "sense" their microenvironment and mount precise, cell-specific molecular responses. ...
What if doctors could guide life-saving treatments through the body using only a magnet? An interdisciplinary collaboration at the University of Pittsburgh's Swanson School of Engineering is bringing that concept closer to ...
The Korea Institute of Machinery and Materials (KIMM) has developed a compact, rapid pretreatment system capable of liquefying and homogenizing solid biological samples in under one minute.
When farmers apply pesticides to their crops, 30 to 50% of the chemicals end up in the air or soil instead of on the plants. Now, a team of researchers from MIT and Singapore has developed a much more precise way to deliver ...
Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light signatures" (optical spectra) of molecules, materials and disease biomarkers, potentially enabling ...
