Electroretinography (ERG) is an ophthalmic diagnostic method used to determine whether the retina is functioning normally. It is widely employed for diagnosing hereditary retinal diseases or assessing retinal function decline.

A team of Korean researchers has developed a next-generation wireless ophthalmic diagnostic technology that replaces the existing stationary, darkroom-based retinal testing method by incorporating an “ultrathin OLED” into a contact lens. This breakthrough is expected to have applications in diverse fields such as myopia treatment, ocular biosignal analysis, augmented-reality (AR) visual information delivery, and light-based neurostimulation.

Researchers have created what could be called “skin in a syringe”. The gel containing live cells can be 3D printed into a skin transplant, as shown in a study conducted on mice. This technology may lead to new ways to treat burns and severe wounds. The study was led from the Center for Disaster Medicine and Traumatology and Linköping University in Sweden, and has been published in Advanced Healthcare Materials.

Study provides a first glimpse at how these food additives are actually digested by our gut bacteria thanks to natural polysaccharides in our diets.

Wuhan, China – A landmark study published today in National Science Review introduces "Pore Science and Engineering" as a transformative paradigm for designing porous materials. Led by Prof. Bao-Lian Su (Wuhan University of Technology) and Prof. Ming-Yuan He (East China Normal University), the research systematically classifies two evolutionary stages of porous materials while proposing quantitative design principles for future applications in energy, catalysis, and environmental remediation.

Climate modeling leveraged by calibrating the so-called “soil color” parameter to enhance surface albedo simulation in the Weather Research and Forecasting model. This weakens land-atmosphere interactions with attenuated sensible heat and evapotranspiration, and suppresses water vapor flow into the Tibetan Plateau. Eventually, it reduces summertime precipitation wet bias by ~16% on the plateau. This study highlights the promise of enhancing climate modeling through the optimization of key land surface parameters, which is highly affordable through satellite remote sensing.