2024 - Sustainable Industrial Processing Summit
SIPS 2024 Volume 6. Leuenberger Intl. Symp / Pharmaceutical Sciences and Applications

Editors:F. Kongoli, S. Buchmann, G. Imanidis, I. Karim, G. Kimura, G. Knipp, M. Makanga, N. Menshutina, P. Swaan, M. Tanner, H. Tarabishi
Publisher:Flogen Star OUTREACH
Publication Year:2024
Pages:352 pages
ISBN:978-1-998384-14-3 (CD)
ISSN:2291-1227 (Metals and Materials Processing in a Clean Environment Series)
CD-SIPS2024_Volume1
CD shopping page

    SUSTAINABILITY IN BIG PHARMA – CAN SUPERCOMPUTING DO THE MAGIC?

    Martin Bultmann1;
    1UNIVERSITY OF HEIDELBERG, Heidelberg, Germany;
    Type of Paper: Regular
    Id Paper: 101
    Topic: 73

    Abstract:

    Though all industries can harvest low-hanging fruit in terms of sustainability (environmental, economic, social) in various aspects like waste-reduction, material/water/energy-consumption etc., pharma-specific SWOT analysis reveal internal and external obstacles for significant improvement: e.g. regulatory aspects, data handling, implementation of innovation.

    Conservative and risk-avoiding internal/external regulatory bodies with different views and foci result in a downward spiral narrowing down the operational window, fostering only applying legacy approaches and create a hindering environment for implementing innovative technologies.

    On the other hand, regulatory bodies are right asking for thorough understanding of products and processes (e.g. ICH Q8-10) which comprises the ability to rationally explain formulation and process.

    Data, information, knowledge play a major role in creating that knowledge and wisdom around products, the human body and our industry in the widest sense. With vast amount of (unstructured) data available, supercomputing power, NN, AI, KBS are necessary prerequisites for harvesting knowledge. Plus, educating next generation scientists in best practices of (DOE-)data-evaluation, modelling, simulation becomes even more important to achieve next big steps in sustainability.

    Keywords:

    Design of Experiments (DoE); ICH guidelines; Modelling; Big Data; development funnel; Single Use Systems (SUS); PUPSIT; Medical devices; waste to drug ratio; overengineering; overregulation; education; DIKW pyramid; eternity costs; TIMWOODS; Efficiency; Neural Networks (NN) and Artificial Intelligence (AI); Knowledge based / Expert systems (KBS/XPS); SWOT Analysis

    Full Text:

    Click here to access the Full Text

    Cite this article as:

    Bultmann M. (2024). SUSTAINABILITY IN BIG PHARMA – CAN SUPERCOMPUTING DO THE MAGIC?. In F. Kongoli, S. Buchmann, G. Imanidis, I. Karim, G. Kimura, G. Knipp, M. Makanga, N. Menshutina, P. Swaan, M. Tanner, H. Tarabishi (Eds.), Sustainable Industrial Processing Summit Volume 6 Leuenberger Intl. Symp / Pharmaceutical Sciences and Applications (pp. 221-236). Montreal, Canada: FLOGEN Star Outreach