The aim of the BioTech Pharma Summit: Bioprocessing & Cell Culture 2018 is is to assess the risks and benefits of the cell culture and cell therapy bio-manufacturing by focusing in particular on the feasibility of process automation: its impact on regulatory compliance and return on investment.
Immunotherapy 2018 helps to address the gaps in knowledge of how and when to combine therapies, and how to integrate immunotherapy into current standard-of-care or novel targeted therapy approaches – both preclinical and clinical,
This two-day Cell & Gene Therapy Event will address key issues concerning cell therapy & gene therapy research in the broader context of cellular and genetic disorder.
Pharmaceutical Packing & Labeling 2018 will be looking at the industries end-to-end labeling strategy to ensure companies are inspection ready while harnessing branding as a storytelling tool to remain relevant to your consumers, old and new.
Cleanroom Management 2018 will discuss regulations and compliance, information in validation and standards. It will highlight cleanroom’s energy consumption and how to make your cleanrooms more efficient.
CX Pharma 2018 will present an opportunity to leverage and enhance the mechanisms, tools and metrics to enhance a company’s cost effectiveness of pursuing customer centric initiative, accomplish more with fewer resources and formulate ideas on how to generate a higher level of revenue and customer satisfaction.
November 26, 2018
Cell Therapy & Regenerative Medicine 2018 will showcase the latest innovations and breakthroughs in stem cell research and medical applications around the world. You will have the opportunity to discover the solutions to your technical challenges in stem cell expansion, delivery, and integration
November 29, 2018
Precision Medicine & Biomarkers 2018 will be focused on the opportunities and challenges of biomarker research discovery and development in a variety of therapeutic areas such as immune-oncology, neuroscience and cardio vascular disease areas, precision medicine, companion diagnostics, data integration methods, and utilising biomarkers in clinical trials.