Multi-linear Regression Model to Predict the Electron Stability of Poorly Soluble Active Pharmaceutical Ingredients

Journal Article Multi-linear Regression Model to Predict the Electron Stability of Poorly Soluble Active Pharmaceutical Ingredients Get access Mark S’ari, Mark S’ari University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Andy Brown, Andy Brown University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Rik Brydson, Rik Brydson University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Nicole Hondow, Nicole Hondow University of Leeds, School of Chemical and Process Engineering, Leeds, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Helen Blade, Helen Blade Pharmaceutical Development Group, AstraZeneca, Macclesfield, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Les Hughes, Les Hughes Pharmaceutical Development Group, AstraZeneca, Macclesfield, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Steve Cosgrove Steve Cosgrove Pharmaceutical Development Group, AstraZeneca, Macclesfield, United Kingdom Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 23, Issue S1, 1 July 2017, Pages 1194–1195, https://doi.org/10.1017/S1431927617006638 Published: 04 August 2017