Applications of machine learning in spectroscopy
CA Meza Ramirez, M Greenop, L Ashton… - Applied Spectroscopy …, 2021 - Taylor & Francis
The way to analyze data in spectroscopy has changed substantially. At the same time, data
science has evolved to the point where spectroscopy can find space to be housed, adapted …
science has evolved to the point where spectroscopy can find space to be housed, adapted …
[HTML][HTML] A guide to good practice in chemometric methods for vibrational spectroscopy, electrochemistry, and hyphenated mass spectrometry
MD Peris-Díaz, A Krężel - TrAC Trends in Analytical Chemistry, 2021 - Elsevier
Chemometric methods are powerful tools used in analytical sciences and beyond. Their
application is continuously increasing due in part to the technological advances that allow …
application is continuously increasing due in part to the technological advances that allow …
Multi-attribute Raman spectroscopy (MARS) for monitoring product quality attributes in formulated monoclonal antibody therapeutics
Rapid release of biopharmaceutical products enables a more efficient drug manufacturing
process. Multi-attribute methods that target several product quality attributes (PQAs) at one …
process. Multi-attribute methods that target several product quality attributes (PQAs) at one …
Prediction machines: applied machine learning for therapeutic protein design and development
TJ Kamerzell, CR Middaugh - Journal of Pharmaceutical Sciences, 2021 - Elsevier
The rapid growth in technological advances and quantity of scientific data over the past
decade has led to several challenges including data storage and analysis. Accurate models …
decade has led to several challenges including data storage and analysis. Accurate models …
Self-assembly of gold nanoparticles by chitosan for improved epinephrine detection using a portable surface enhanced Raman scattering device
Surface enhanced Raman scattering (SERS) has become widely used for identification,
quantification and providing structural information about molecular structure in low …
quantification and providing structural information about molecular structure in low …
Understanding the discrimination and quantification of monoclonal antibodies preparations using Raman spectroscopy
The use of Raman spectroscopy for analytical quality control of anticancer drug preparations
in clinical pharmaceutical dispensing units is increasing in popularity, notably supported by …
in clinical pharmaceutical dispensing units is increasing in popularity, notably supported by …
Visible particle identification using Raman spectroscopy and machine learning
H Sheng, Y Zhao, X Long, L Chen, B Li, Y Fei, L Mi… - AAPS …, 2022 - Springer
Visible particle identification is a crucial prerequisite step for process improvement and
control during the manufacturing of injectable biotherapeutic drug products. Raman …
control during the manufacturing of injectable biotherapeutic drug products. Raman …
Quantification of gemcitabine intravenous drugs by direct measurement in chemotherapy plastic bags using a handheld Raman spectrometer
L Lê, M Berge, A Tfayli, AB Guffroy, P Prognon… - Talanta, 2019 - Elsevier
Quantification of gemcitabine intravenous drugs by direct measurement in chemotherapy
plastic bags using a handheld Raman spectrometer - ScienceDirect Skip to main contentSkip to …
plastic bags using a handheld Raman spectrometer - ScienceDirect Skip to main contentSkip to …
Development of Analytical Method for the Quantitation of Monoclonal Antibodies Solutions via Raman Spectroscopy: The Case of Bevacizumab
M Lykouras, P Papaspyridakou, OE Makri… - Pharmaceuticals, 2024 - mdpi.com
Personalized dosages of monoclonal antibodies are being used more regularly to treat
various diseases, rendering their quantitation more essential than ever for the right dose …
various diseases, rendering their quantitation more essential than ever for the right dose …
The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows
The RAMP (Rapid Analytics and Model Prototyping) is a software and project management
tool developed by the Paris-Saclay Center for Data Science. The original goal was to …
tool developed by the Paris-Saclay Center for Data Science. The original goal was to …