首页|University of Milano Bicocca Reports Findings in Machine Learning (Vibrational s pectroscopy coupled with machine learning sheds light on the cellular effects in duced by rationally designed TLR4 agonists)
University of Milano Bicocca Reports Findings in Machine Learning (Vibrational s pectroscopy coupled with machine learning sheds light on the cellular effects in duced by rationally designed TLR4 agonists)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Milano, Italy, by News Rx correspondents, research stated, “In this work, we present the potential of F ourier transform infrared (FTIR) microspectroscopy to compare on whole cells, in an unbiased and untargeted way, the capacity of bacterial lipopolysaccharide (L PS) and two rationally designed molecules (FP20 and FP20Rha) to activate molecul ar circuits of innate immunity. These compounds are important drug hits in the d evelopment of vaccine adjuvants and tumor immunotherapeutics.” Our news journalists obtained a quote from the research from the University of M ilano Bicocca, “The biological assays indicated that FP20Rha was more potent tha n FP20 in inducing cytokine production in cells and in stimulating IgG antibody production post-vaccination in mice. Accordingly, the overall significant IR spe ctral changes induced by the treatment with LPS and FP20Rha were similar, lipids and glycans signals being the most diagnostic, while the effect of the less pot ent molecule FP20 on cells resulted to be closer to control untreated cells.”
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