AI Guided Stable Biophamaceutical Formulation Design

AI Guided Stable Biophamaceutical Formulation Design

 

Summary

The Biopharmaceutical sector is a high growth industrial sector with a projected market size of $856 billion by 2030 and a CAGR of around 12%. Biopharmaceutical protein based monoclonal antibody therapeutics are rapidly becoming the main drug technologies in innovation funnels of all major pharmaceutical companies due to their targeted and high efficacy for range of many of the critical diseases (cancer, rheumatoid arthiritis, auto-immune diseses, asthma, etc). This project will develop AI/ML based models to allow optimum choice of monoclonal antibody molecules and formulation conditions to significantly speed up the pre-formulation and formulation stages of the drug development process in the biopharmaceutical industry.

Team

Samiul Amin (Chemical, Environmental and Materials Engineering), Yelena Yesha (Computer Science)

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