Webinar - Innovative AI Software Solutions Driving Biomarker Research Efficiency

Biomarker discovery and validation are critical for advancing your personalized medicine and improving therapeutic outcomes. However, the complexity of high-throughput assays and image-based analyses presents significant challenges in extracting meaningful insights efficiently. Please join us at this webinar to explore how cutting-edge platforms such as Genedata Profiler SW and Leica’s Aivia AI-powered image analysis software are transforming biomarker studies. By harnessing the power of these innovative SW solutions you can overcome traditional bottlenecks, reduce time to insight, and improve the overall efficiency of your biomarker research.

Learn how to:

• Explore strategies to streamline biomarker discovery using Genedata Profiler software, by centralizing your experimental results, standardizing data processing, and choosing from a range of statistical analyses
• See examples in immuno-oncology from top biopharma companies
• Quickly and accurately segment cells using AI so you can spend less time on analyzing data and more time on the biology
• Leverage your expertise or simple automation to classify cells into different phenotypes and interactively explore them in their spatial context

Speakers

Sebastien Ribrioux, Scientific Account Manager, 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.

Quyen Tran, PhD, Global Business Excellence Manager - Data & Analysis, Leica Microsystems

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