Diseño de Dispositivos para el Diagnóstico de Sarcopenia en Miembro Superior

Analysis of energy and major components in chromatographic signals for the diagnosis of prostate cancer

“…Prostate cancer is one of the cancers that most affects the male gender today; more than 5% of every million people are affected by this disease; In addition, the early detection tools available to prevent it and the main diagnostic instruments to obtain evidence are generally invasive, with the rectal examination and serum concentration of the specifi c prostate antigen being the best known. In this sense, [1] identifi ed factors that may be related to the non-performance of the exam such as: fear of cancer, shame, discomfort, pain, low educational level, disinformation of the exam, distrust of medical professionals and concern that the rectal touch may affect masculinity; factors that are expected to be mitigated with this research, taking advantage of the increasing use of new technologies, where applications have been developed to improve health conditions worldwide [2], seeking to make the procedures as effective and as invasive as possible.. Computer-assisted diagnostic systems, which use signal processing techniques, have been widely used to diagnose diseases such as upper limb sarcopenia [3], cardiovascular diseases [4], [5], Parkinson [6] - [8], to mention a few. Likewise, prostate cancer has also been tried to diagnose using image processing techniques from the chemical treatment of a biopsy [9], [10]; others have used machine learning techniques to improve the validity of the diagnosis [11], [12], however, the method remains invasive in obtaining the sample for the analysis of the information contained therein.…”