Abstract: Methods and system for detection and diagnosis of diseases including cancer. A patient sample is analyzed by absorbance spectroscopy in the near- and mid-infrared range to produce a spectrometric signature, the sample obtained from a patient. The signature is processed by a computational engine using one or more machine learning techniques to determine whether the spectrometric signature indicates the presence of a disease, including one or more cancers. Embodiments operate outside of conventionally accepted wavelength ranges, facilitating more rapid, simple, and reliable testing.

Abstract: A gas turbine engine vane assembly provides double impingement cooling of a vane platform. An impingement structure disposed adjacent the vane platform defines at least first and second plenums in fluid flow communication, respectively defined in part by the vane platform. The vane platform has first and second surfaces defined within the first and second plenums, and which are cooled by successive impingement of secondary cooling air flow through the impingement structure.