CORDIS Project
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This project focuses on developing machine learning techniques to predict crystalline forms of pharmaceutical compounds. By accelerating the prediction process, it aims to enhance drug formulation and address challenges related to polymorphism, which can impact drug efficacy and safety across various industries.
Correctly developing and predicting crystalline forms with specific physico-chemical properties is essential to the pharmaceutical industry.
The main challenge this industry faces is the fact that most active pharmaceutical ingredients in most drugs can interconvert into a different (usually more stable) polymorph, potentially reducing the solubility of the drug, slowing down the release of the API and affecting the pharmacokinetics, bioavailability and efficacy of the drug.
For instance, due to…
UNIVERSITE DU LUXEMBOURG
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