The WHO classification of brain tumors is based on histological features and the aggressiveness of the tumor is classified from grade I to IV, where grade IV is the most aggressive. Today, the correlation between prognosis and tumor grade is the most important component in tumor classification. High grade gliomas, glioblastomas, are associated with poor prognosis and a median survival of 14 mon...

A new classification approach was developed to improve the noninvasive diagnosis of brain tumors. Within this approach, information is extracted from magnetic resonance imaging and spectroscopy data, from which the relative location and distribution of selected tumor classes in feature space can be calculated. This relative location and distribution is used to select the best information extrac...

Chemometrics is the application of statistical and mathematical methods to analytical data to permit maximum collection and extraction of useful information. It is a data-driven interdisciplinary science suitable for solving diverse applications. This review focuses mainly on various chemometric models used and their applications in the pharmaceutical sciences.

Different examples of successive coupling of Near Infrared Spectroscopy and chemometric for solving problems of authentication and quality control of food and drug samples will be presented. In particular, topics as the traceability of PDO products, the determination of nutritional value of cereals and the quantification of enantiopurity of pharmaceutical API will be discussed.

Seven Finnish honeys of different botanical origins were evaluated by 62 untrained panelists by using CATA method with 12 main attribute categories. Samples were also analyzed with SPMEGC-O by using 3 trained assessors and posterior intensity method to correlate sensory characteristics of honey with volatile compositions. Current presentation will cover the different chemometric techniques used...