Results 191 to 200 of about 742,236 (299)
Despite significant efforts in developing novel biomaterials to regenerate tissue, only a few of them have successfully reached clinical use. It has become clear that the next generation of biomaterials must be multifunctional. Smart biomaterials can respond to environmental or external stimuli, interact in a spatial‐temporal manner, and trigger ...
Sonya Ghanavati+12 more
wiley +1 more source
Bacterial cellulose has undergone a transformative journey from early applications to its role in advanced regenerative medicine. The review has a pedagogical ambition, offering clear pathways for future research and clinical adoption. Harmonizing regulatory standards and conducting larger, well‐designed clinical trials with standardized endpoints will
Thomas Meslier+3 more
wiley +1 more source
Seeing inside the Body Using Wearable Sensing and Imaging Technologies
This review explores wearable technologies for noninvasive internal health monitoring. It categorizes approaches into indirect sensing (e.g., bioelectrical and biochemical signals) and direct imaging (e.g., wearable ultrasound and EIT), highlighting multimodal integration and system‐level innovation toward personalized, continuous healthcare.
Sumin Kim+3 more
wiley +1 more source
CERTIFICATION AS A DIPLOMATE IN THE CONTACT LENS SECTION
Harold I. Moss
openalex +1 more source
Aerosol jet printing enables rapid, customizable fabrication of flexible, fully gold multi‐electrode arrays (MEAs) for organotypic bioelectronic interfaces. The printed MEAs exhibit stable electrochemical performance, cytocompatibility, and functionality in recording and stimulation, including integration with 3D‐printed constructs.
Ernest Cheah+7 more
wiley +1 more source
Electrochemical Biosensor for Rapid Detection of Acute Rejection in Kidney Transplants
A low‐cost, rapid electrochemical immunosensor coated with a novel antifouling nanocomposite enables single‐step, dual‐biomarker profiling directly from unprocessed urine. Application in a clinical study shows accurate discrimination of acute rejection in kidney transplants from other acute kidney injuries via machine learning.
Rohit Gupta+9 more
wiley +1 more source