Exposures to hazardous airborne particles can pose a significant health risk to those routinely exposed in ambient air and industrial work environments. Measuring chemical composition and concentration of aerosol particles is important to preventing worker exposures and protecting health.
Tailoring the best treatments to cancer patients remains a highly important endeavor in the oncology field. However, personalized treatment courses are challenging to determine, and technologies or methods that can successfully be employed for precision oncology are lacking.
There is growing awareness that a wide variety of synthetic and natural compounds that may be present in water sources, such as streams, wells, and ground water, may lead to adverse health effects, including increased cancer risk. Even low concentrations of these compounds are of concern, as they may have biological effects at concentrations of parts per billion or less.
Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This results in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.