Abstract Background: Identifying co-occurring mental disorders and elevated risk is vital for optimization of healthcare processes. In this study, we…
Abstract Artificial intelligence (AI) approaches in cancer analysis typically utilize a ‘one-size-fits-all’ methodology characterizing average patient responses. This manner neglects…
Abstract Background: Prediction of high-risk events in mental disorder patients is crucial. In our previous study, we developed a deep…
Abstract Motivation: Compound structure identification is using increasingly more sophisticated computational tools, among which machine learning tools are a recent…
Keywords: New Psychoactive Substances, Hair analysis, Extraction, Mass spectrometry, LOD, Identification Authors: Dimitra Florou, Vassiliki A. Boumba License: © 2021…
Abstract Hemp (Cannabis sativa L.) is a new crop in Alabama. In 2019, symptomatic plants with stunted growth, poor root…