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Nicole M Ralbovsky

Showing results (1-10 of 23) with videos related to

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Analytical Chemistry|August 24, 2021
Machine Learning and Chemical Imaging to Elucidate Enzyme Immobilization for BiocatalysisNicole M Ralbovsky, Joseph P Smith
Chemical Society Reviews|September 30, 2020
Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learningNicole M Ralbovsky, Igor K Lednev
Talanta|October 20, 2020
Analysis of individual red blood cells for Celiac disease diagnosisNicole M Ralbovsky, Igor K Lednev
Pharmaceutical Research|January 18, 2023
Machine Learning for Prediction, Classification, and Identification of Immobilized Enzymes for BiocatalysisNicole M Ralbovsky, Joseph P Smith
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|May 11, 2019
Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancerNicole M Ralbovsky, Igor K Lednev
Talanta|August 18, 2022
Process analytical technology and its recent applications for asymmetric synthesisNicole M Ralbovsky, Joseph P Smith
Applied Spectroscopy|May 14, 2021
Vibrational Spectroscopy for Detection of Diabetes: A ReviewNicole M Ralbovsky, Igor K Lednev
Talanta|March 14, 2021
Determining the stages of cellular differentiation using deep ultraviolet resonance Raman spectroscopyNicole M Ralbovsky, Paromita Dey, Bijan K Dey, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|March 20, 2021
Towards development of a novel screening method for identifying Alzheimer's disease risk: Raman spectroscopy of blood serum and machine learningNicole M Ralbovsky, Greg S Fitzgerald, Ewan C McNay, et al.
Scientific Reports|July 18, 2020
Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopyNicole M Ralbovsky, Paromita Dey, Andrew Galfano, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Analytical Chemistry|August 24, 2021
Machine Learning and Chemical Imaging to Elucidate Enzyme Immobilization for BiocatalysisNicole M Ralbovsky, Joseph P Smith
Chemical Society Reviews|September 30, 2020
Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learningNicole M Ralbovsky, Igor K Lednev
Talanta|October 20, 2020
Analysis of individual red blood cells for Celiac disease diagnosisNicole M Ralbovsky, Igor K Lednev
Pharmaceutical Research|January 18, 2023
Machine Learning for Prediction, Classification, and Identification of Immobilized Enzymes for BiocatalysisNicole M Ralbovsky, Joseph P Smith
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|May 11, 2019
Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancerNicole M Ralbovsky, Igor K Lednev
Talanta|August 18, 2022
Process analytical technology and its recent applications for asymmetric synthesisNicole M Ralbovsky, Joseph P Smith
Applied Spectroscopy|May 14, 2021
Vibrational Spectroscopy for Detection of Diabetes: A ReviewNicole M Ralbovsky, Igor K Lednev
Talanta|March 14, 2021
Determining the stages of cellular differentiation using deep ultraviolet resonance Raman spectroscopyNicole M Ralbovsky, Paromita Dey, Bijan K Dey, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|March 20, 2021
Towards development of a novel screening method for identifying Alzheimer's disease risk: Raman spectroscopy of blood serum and machine learningNicole M Ralbovsky, Greg S Fitzgerald, Ewan C McNay, et al.
Scientific Reports|July 18, 2020
Diagnosis of a model of Duchenne muscular dystrophy in blood serum of mdx mice using Raman hyperspectroscopyNicole M Ralbovsky, Paromita Dey, Andrew Galfano, et al.
Pageof 3