Often broken into economic, environmental, and social concepts, sustainability can be defined as the ability to maintain or support a process over time. Other definitions include the capacity of fulfilling the needs of current generation without compromising the needs of future generations, while ensuring a balance between economic growth, environmental care and social well-being. But what does this really mean for your organization and how can it be practically implemented? As an example, does digitalization aid sustainability or does it have an environmental impact by itself?
Join this webinar with Mark Henson, Head of Sustainable CMC at Takeda, Mark Milton, Associate Fellow at Takeda, Andrew Phillips, Head of digitalization, Pharmaceutical Sciences, at Astra Zeneca, Martin Gadsby, co-founder of Optimal Industrial Technologies and PAT expert and moderated by Anna Codina, Director of the Pharmaceutical Business Unit at Bruker BioSpin. They will discuss the correlation between digitalization, sustainability and process analytical technology and present practical examples of their implementation in pharma and biopharma.
Helium production and supply sustainability will also be discussed in the context of nuclear magnetic resonance (NMR) and solutions presented for helium recycling, as well as the latest results obtained from a cryogen-free benchtop spectrometer used as a smart detector for flow chemistry. Continuous-flow chemistry, compact and highly efficient by design, offers great advantages when combined with green chemistry principles and process analytical technology toward the development of a more sustainable chemistry and bioproduction.
Key Learning Objectives:
- Key challenges in digital transformation
- Gain insights on sustainability chemistry goals the pharmaceutical industry
- Modern technologies that enable greener chemistry
- Sustainability through the next generation of drugs
- Economic significance and current challenges in the pharmaceutical industry
- Digitalization and its impact from drug discovery to development
- Insights into machine learning and artificial intelligence applications to Process Analytical Technology (PAT)
Who Should Attend:
- Pharmaceutical & Fine Chemists
- Academic Chemistry Researchers
- Process & Development Chemists
- Drug Discovery and Development
- Manufacturing in Pharmaceutical industry
- Sustainability Directors