NEWS & EVENTS
A penetrating injury from shrapnel is a serious obstacle in overcoming battlefield wounds that can ultimately lead to death. Given the high mortality rates due to hemorrhaging, there is an unmet need to quickly self-administer materials that prevent fatality due to excessive blood loss. Read more at Science Alert.
An interdisciplinary research group of biologists, engineers, and physicians, funded in part by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), are working together to develop a 3D printed solution to the problem of ischemia caused by damage to small blood vessels. Read more at here.
Read more at Life Science Daily.
NIBIB's Hari Shroff and his colleague's work imaging the developing nematode is described in a Science technology feature on the latest in live-cell microscopy. The article highlights the lab's recent advance called triple-view selective plane illumination microscopy (triple-view SPIM), which creates more sensitive imaging at twice the speed, all for the cost of an aluminum-coated coverslip. Read the article in Science.
Researchers have created new nanomaterials able to cross cell membranes, establishing a novel platform for the intracellular delivery of molecular drugs and other cargo. Read more at Science Newsline.
Researchers have used a combination of light and genetic engineering to controlling the metabolism, or basic chemical process, of a living cell. Building on techniques that already have transformed the field of neuroscience, the researchers used light to control genetically-modified yeast and increase its output of commercially valuable chemicals. Read more from ScienceDaily.
Engineers have developed miniaturized sensors that, when mounted directly on a tooth and communicating wirelessly with a mobile device, can transmit information on glucose, salt and alcohol intake. Researchers note that future adaptations of these sensors could enable the detection and recording of a wide range of nutrients, chemicals and physiological states. Read more at Tufts Now.
Researchers have developed a new technique based on artificial intelligence and machine learning that should enable clinicians to acquire high-quality images from limited data. Read more from Science Daily.