METHOD AND SYSTEM FOR PREDICTING PROPERTIES OF AMORPHOUS SOLID DISPERSIONS USING MACHINE LEARNING

Present invention is directed to an artificial intelligence-based method and a system, that uses both experimental results data and molecular simulation to predict properties of amorphous solid dispersions such as glass transition temperature, dissolution profile, and/or physical stability. The meth...

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Bibliographische Detailangaben
Hauptverfasser:	JACOBSON, Solomon Howard, BI, Yunxia, DURIG, Thomas
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	HUMAN NECESSITIES HYGIENE INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS PREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
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Beschreibung
Zusammenfassung:	Present invention is directed to an artificial intelligence-based method and a system, that uses both experimental results data and molecular simulation to predict properties of amorphous solid dispersions such as glass transition temperature, dissolution profile, and/or physical stability. The method and system of the present invention enable rational design of amorphous solid dispersions for poorly water-soluble drugs and significantly reduce the time and resource required for amorphous solid dispersions formulation development.