A Practical Framework Toward Prediction of Breaking Force and Disintegration of Tablet Formulations Using Machine Learning Tools

Authors: Akseli, Ilgaz, Xie, Jingjin, Schultz, Leon, Ladyzhynsky, Nadia, Bramante, Tommasina, He, Xiaorong, Deanne, Rich, Horspool, Keith R., Schwabe, Robert

Source: In Journal of Pharmaceutical Sciences January 2017 106(1):234-247

Quantitative Correlation of the Effect of Process Conditions on the Capping Tendencies of Tablet Formulations

Authors: Akseli, Ilgaz ^*, Stecuła, Adrian, He, Xiaorong, Ladyzhynsky, Nadia

Source: In Journal of Pharmaceutical Sciences June 2014 103(6):1652-1663

Assessing powder segregation potential by near infrared (NIR) spectroscopy and correlating segregation tendency to tabletting performance

Authors: He, Xiaorong, Han, Xi, Ladyzhynsky, Nadia, Deanne, Richard

Source: In Powder Technology February 2013 236:85-99

Development of predictive tools to assess capping tendency of tablet formulations

Authors: Akseli, Ilgaz, Ladyzhynsky, Nadia, Katz, Jeffrey, He, Xiaorong

Source: In Powder Technology February 2013 236:139-148

PHARMACEUTICAL COMPOSITION, PHARMACEUTICAL DOSAGE FORM, PROCESS FOR THEIR PREPARATION, METHODS FOR TREATING AND USES THEREOF