Biomarker discovery and validation are critical for advancing personalised medicine and improving therapeutic outcomes. However, the complexity of high-throughput assays and image-based analyses presents significant challenges in extracting meaningful insights efficiently.

Taking place on 23 October at 4pm BST, this webinar, hosted by DDW and supported by Danaher Life Sciences, explores how advanced platforms such as Genedata Profiler software and Leica Microsystems Aivia AI-powered image analysis software can transform biomarker studies, enabling users to overcome traditional bottlenecks, reduce time to insight, and enhance the overall efficiency of biomarker research.

You will learn how to:

• Explore strategies to streamline biomarker discovery using Genedata Profiler software, by centralising your experimental results, standardising data processing, and choosing from a range of statistical analyses
• Review immuno-oncology examples from leading biopharma companies
• Use AI to segment cells quickly and accurately, spending less time on analysis and more time on biology
• Apply expertise or automation to classify cells into phenotypes and interactively explore them in their spatial context

About the speakers

The event will feature Sebastien Ribrioux, Scientific Account Manager at Genedata. Dr Sebastien Ribrioux is a data scientist with extensive experience in biomarker and gene target discovery in a wide range of biomedical and industrial applications. These include osteoporosis drug target discovery at Novartis, identification of proteomics-based early diagnostic markers of diabetes in a collaboration between Roche and the Swiss Federal Institute of Technology (ETH), as well as genetic and microbial biomarkers in various contexts since joining Genedata. Most recently, Sebastien has been involved in transcriptomic biomarker discovery in oncology. 

The second speaker is Quyen Tran, PhD, who was the Global Business Excellence Manager for the Data & Analysis group at Leica Microsystems, responsible for the commercial aspect of Aivia. She received her PhD in Biomedical Engineering at the University of Wisconsin–Madison where she examined stem cell behaviour in 3D protein-based constructs fabricated using multiphoton microscopy. Quyen has worked with Aivia since its launch utilising her perspective as a scientist and Aivia expertise to bring AI-powered image analysis to help researchers propel their work forward.

Register now to secure your place.