Webinar: How Artificial Intelligence Can Address Analytical Challenges in Gene Therapies and Vaccines
Accurate and reliable analytics are crucial in the development and manufacturing of viral-based drugs. In this webcast key concepts and strategies will be discussed how to apply analytical information to the development of these emerging therapies.
The discussion will include the following topics:
- Applying the mix of analytical methods that reveal process impact on critical quality attributes
- How meaningful analytical data can be critical for reducing process development time or root-cause analysis in manufacturing processes
- The need for innovation in analytics and how artificial intelligence can play a role
Key Learning Objectives:
- Understand how artificial intelligence can address challenges in viral particle sample analysis
- How meaningful analytical data support secure transition from research to commercial scale
- How to reveal process impact on critical quality attributes of a viral-based drug product
Head of Business Unit, EM Services
Josefina Nilsson, head of electron microscopy at Vironova, has specialized expertise in the structural analysis of viruses and nanoparticles, electron microscopy, and its industrial applications. Since 2009, she has been responsible for the company’s EM services, which offer electron microscopy and image analysis services for biopharmaceuticals. Josefina has shaped the Vironova services and solutions related to characterization of nanoparticles with particular focus on virus, virus-like particles, and gene therapy vectors. She holds a doctorate in biophysics and structural biology from the Karolinska Institute.
CTO at Vironova and Associate Professor in Computerized Image Analysis at Uppsala University
Dr. Sintorn has during her 10 years at Vironvoa been responsible for the development of analysis software and instruments. In addition to her role at Vironova, she is an Associate Professor at the Department of Information Technology at Uppsala University. She obtained her PhD in computerized image analysis in 2005 from the Centre for Image Analysis, Swedish University of Agricultural Sciences. She has since then gained industrial and academic experience in a variety of image processing and computer vision applications in Sweden and abroad. Her main research focus is pattern recognition and image processing of microscopy imagery for automated digital microscopy of tissue cells and nanoparticles.
Josefina and Ida-Maria