A team of NIST researchers, including Srivalli Telikepalli (shown here), developed a standard reference material that will help biopharmaceutical companies better detect these particles in their drug products.
A rapidly growing category of drugs called protein-based biotherapeutics can be used to treat cancers and genetic and autoimmune disorders.
The Bott Group speeds up its 3D measurement processes for in-vehicle fittings thanks to the HandySCAN 3D|MAX Series
The Bott Group designs vehicle and operating equipment as well as workplace systems.
I recently needed to have a hot water expansion tank installed in my house. The first plumber who came to mind is widely advertised on local radio.
Pharmaceutical serialization practices are on the rise and have progressively become a worldwide standard as a result of stringent regulations in various of markets, including the United States, European Union, China, and Argentina.
Lincoln Laboratory's microwave imaging technology was licensed by Liberty Defense, which developed the HEXWAVE security screening system seen here.
A new security screener that people can simply walk past may soon be coming to an airport near you. Last year, U.S. airports nationwide began adopting HEXWAVE, a commercialized system based on microwave imaging technology developed at MIT Lincoln Laboratory.
Tyler Smith, a technical staff member at the Manufacturing Demonstration Facility, operates a Juggerbot 3D printer at the MDF on ORNL’s Hardin Valley campus. Juggerbot 3D is collaborating with ORNL to pioneer systems that print both thermoset and thermoplastic polymers.
The U.S.
My grandfather was a carpenter, so growing up I often heard the adage, “Be sure to measure twice so you only have to cut once.” The saying is also attributed to tailors—you have to make sure your measurements are correct before you cut the fabric.
Although patient safety is paramount in healthcare settings, about 1 in 10 patients is harmed in healthcare, and more than 3 million deaths occur due to unsaf
Good supplier management is one of the most important methods of building a safe and effective medical device.
Complacency won’t show up on a control chart. But its damage is real. Can AI and systems thinking help us detect it and respond before trust is lost?
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