ウェビナー動画：Arvinas社、機械学習（ML）を活用した画像解析
Arvinas社では、画像解析ワークフローに機械学習を統合することで、AIによる高度な画像分類を実現し、ハイコンテントイメージングを革新しています。このアプローチにより、創薬プロセスの効率化とスクリーニングの可能性拡大が可能となります。
Arvinas is a pioneering biotech company performing targeted protein degradation through its PROTAC protein degrader platform. Learn in this webinar how they have transformed their high content imaging by integrating advanced machine learning into its image analysis workflows. By adopting Genedata, experts in high-content and assay biology were able to harness the full potential of image-based AI and deep-learning algorithms to advance their research.
Debra Nickischer shares how the company evaluated and transitioned from fragmented legacy tools to a unified platform that supports the widest array of assays, leveraging automation and supervised image classification algorithms. The presentation will include insights into the motivation for adopting AI, the challenges they encountered when exploring commercial solutions, and key learnings gained along the way to establishing a complete workflow for high content imaging.
Get insights on:
- Machine learning for high content image analysis in drug discovery
- Requirements for commercial machine learning image analysis solutions
- Analysis of brightfield image assays (like aqueous compatibility and neuronal health) and fluorescence assays.
- An automated complete workflow for high content with a single platform
Who should watch:
- Biopharma, Biotech, and CRO scientists, imaging specialists, and lab heads seeking to implement scalable AI-based image analysis for high content screening.
- R&D teams looking to streamline assay development and automate image classification across therapeutic areas using a centralized enterprise platform.