Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning von Ralbovsky, Nicole M, Lednev, Igor K

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Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancer von Ralbovsky, Nicole M., Lednev, Igor K.

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Raman spectroscopy and machine learning for biomedical applications: Alzheimer’s disease diagnosis based on the analysis of cerebrospinal fluid von Ryzhikova, Elena, Ralbovsky, Nicole M., Sikirzhytski, Vitali, Kazakov, Oleksandr, Halamkova, Lenka, Quinn, Joseph, Zimmerman, Earl A., Lednev, Igor K.

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Towards development of a novel screening method for identifying Alzheimer’s disease risk: Raman spectroscopy of blood serum and machine learning von Ralbovsky, Nicole M., Fitzgerald, Greg S., McNay, Ewan C., Lednev, Igor K.

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Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopy von Ralbovsky, Nicole M., Dey, Paromita, Galfano, Andrew, Dey, Bijan K., Lednev, Igor K.

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Multivariate Statistical Analysis of Surface Enhanced Raman Spectra of Human Serum for Alzheimer’s Disease Diagnosis von Ryzhikova, Elena, Ralbovsky, Nicole M., Halámková, Lenka, Celmins, Dzintra, Malone, Paula, Molho, Eric, Quinn, Joseph, Zimmerman, Earl A., Lednev, Igor K.

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Assessment of serviceability limit state of vibrations in the UHPFRC-Wild bridge through an updated FEM using vehicle-bridge interaction von Nguyen, K., Freytag, B., Ralbovsky, M., Rio, O.

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Analyzing atomic force microscopy images of virus-like particles by expectation-maximization von McCormick, Rachel A., Ralbovsky, Nicole M., Gilbraith, William, Smith, Joseph P., Booksh, Karl S.

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LSMO thin films with high metal-insulator transition temperature on buffered SOI substrates for uncooled microbolometers von CHROMIK, Š, STRBIK, V, CHOLEVA, P, DOBROCKA, E, ROCH, T, ROSOVA, A, SPANKOVA, M, LALINSKY, T, VANKO, G, LOBOTKA, P, RALBOVSKY, M

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Machine Learning for Prediction, Classification, and Identification of Immobilized Enzymes for Biocatalysis von Ralbovsky, Nicole M., Smith, Joseph P.

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Machine Learning and Chemical Imaging to Elucidate Enzyme Immobilization for Biocatalysis von Ralbovsky, Nicole M, Smith, Joseph P

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Analysis of individual red blood cells for Celiac disease diagnosis von Ralbovsky, Nicole M., Lednev, Igor K.

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Vibrational Spectroscopy for Detection of Diabetes: A Review von Ralbovsky, Nicole M., Lednev, Igor K.

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Process analytical technology and its recent applications for asymmetric synthesis von Ralbovsky, Nicole M., Smith, Joseph P.

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Raman spectroscopy and multivariate analysis for identification and classification of pharmaceutical pain reliever tablets von Ralbovsky, Nicole M., Smith, Joseph P.

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Machine Learning and Hyperspectral Imaging for Analysis of Human Papillomaviruses (HPV) Vaccine Self-Healing Particles von Ralbovsky, Nicole M., Zhang, Yingyue, Williams, Donna M., McKelvey, Craig A., Smith, Joseph P.

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Determining the stages of cellular differentiation using deep ultraviolet resonance Raman spectroscopy von Ralbovsky, Nicole M., Dey, Paromita, Dey, Bijan K., Lednev, Igor K.

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Utilizing in situ spectroscopic tools to monitor ketal deprotection processes von Ralbovsky, Nicole M., Lomont, Justin P., Ruccolo, Serge, Konietzko, Janelle, McHugh, Patrick M., Wang, Sheng-Ching, Mangion, Ian, Smith, Joseph P.

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Process monitoring of polysaccharide deketalization for vaccine bioconjugation development using in situ analytical methodology von Lomont, Justin P., Ralbovsky, Nicole M., Guza, Christine, Saha-Shah, Anumita, Burzynski, Joseph, Konietzko, Janelle, Wang, Sheng-Ching, McHugh, Patrick M., Mangion, Ian, Smith, Joseph P.

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Simultaneous multielement imaging of liver tissue using laser ablation inductively coupled plasma mass spectrometry von Ralbovsky, Nicole M., Zou, Lanfang, Chen, Bingming, Zhang, Nanyan Rena, Hines, Catherine D.G., Vavrek, Marissa, Zhong, Wendy, Smith, Joseph P., Bu, Xiaodong

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