Predictive Modeling in Biomedical Data Mining and Analysis 2022
DOI: 10.1016/b978-0-323-99864-2.00011-1
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Prediction of blood screening parameters for preliminary analysis using neural networks

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Cited by 5 publications
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“…Specially, the protein mixture (albumin/globulin/Fgn at the concentration of 40/20/2 mg mL −1 ) was prepared according to the reported plasma composition. [ 32,35 ] Therefore, PLPS2 actually adhered the highest amount of Fgn, despite of the obviously lower amount of Fgn than albumin/globulin in protein mixture or PPP. It can be inferred that the PLPS surface achieves a certain degree of selective adsorption (of Fgn among various plasma proteins), which is the crucial mechanism for the superior platelet‐adhesion/‐activation property endowed by the medium‐content EPL.…”
Section: Resultsmentioning
confidence: 98%
“…Specially, the protein mixture (albumin/globulin/Fgn at the concentration of 40/20/2 mg mL −1 ) was prepared according to the reported plasma composition. [ 32,35 ] Therefore, PLPS2 actually adhered the highest amount of Fgn, despite of the obviously lower amount of Fgn than albumin/globulin in protein mixture or PPP. It can be inferred that the PLPS surface achieves a certain degree of selective adsorption (of Fgn among various plasma proteins), which is the crucial mechanism for the superior platelet‐adhesion/‐activation property endowed by the medium‐content EPL.…”
Section: Resultsmentioning
confidence: 98%