Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …

Automatic segmentation methods are an important advancement in medical image analysis.
Machine learning techniques, and deep neural networks in particular, are the state-of-the-…

Tungsten tetraboride (WB 4 ) is an interesting candidate as a less expensive member of the
growing group of superhard transition metal borides. WB 4 was successfully synthesized by …

For decades, borides have been primarily studied as crystallographic oddities. With such a
wide variety of structures (a quick survey of the Inorganic Crystal Structure Database counts …

Background Although several disease-modifying treatments are available for relapsing multiple
sclerosis, treatment effects have been more modest in progressive multiple sclerosis and …

Magnesium silicide and related alloys are attractive for thermoelectric applications due to
their low toxicity, thermal stability, low density, relative abundance and low cost of production. …

The Canadian Multiple Sclerosis Working Group (CMSWG) developed practical recommendations
in 2004 to assist clinicians in optimizing the use of disease-modifying therapies (DMT…

Background On the basis of encouraging preliminary results, we conducted a randomized,
controlled trial to determine whether minocycline reduces the risk of conversion from a first …

Nanostructures of the conducting polymer poly(3,4-ethylenedioxythiophene) with large
surface areas enhance the performance of energy storage devices such as electrochemical …

Background Colonoscopy remains the gold-standard screening for colorectal cancer. However,
significant miss rates for polyps have been reported, particularly when there are multiple …