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ウェビナー動画:Eli Lilly社、バイオ医薬品創薬における質量分析データのデジタルトランスフォーメーション

Lilly Biologics Discoveryの質量分析グループでは、Genedata Expressionist®を導入することで、バイオ医薬品の創薬における大規模で複雑な質量分析解析結果を構造化し、デジタル基盤に統合しました。本講演では、MSデータの構造化、MSワークフローの自動化・標準化、そして電子実験ノート(ELN)・自動化装置・AI/MLツールとの連携によって生産性を3~10倍に向上させた事例を紹介しています。

Learn from Dr. Joomi Ahn how Lilly’s Biologics Discovery Mass Spectrometry group implemented Genedata Expressionist to transform unstructured mass spectrometry (MS) data into a structured, automated digital ecosystem. Integration with electronic lab notebook, liquid handling automation, and custom AI/ML tools enabled 3-10x productivity gains. 

High-throughput workflows now process a large number of samples per batch for intact mass, bispecific assembly checks, and stability peptide mapping workflows. Vendor-neutral architecture supports cross-site standardization while enabling sequence liability prediction models and automated stability reporting, accelerating biologics drug discovery.  

You will learn how to:  

  • Standardize MS workflows across sites with a scalable, vendor-neutral, flexible platform.  
  • Automate end-to-end MS processes to increase productivity, data integrity, and knowledge access.  
  • Integrate wet and digital labs to shorten developability timelines for any new and hybrid modality.  
  • Leverage sequence liability prediction and automated stability reporting to accelerate drug candidate selection.  

Who Should Watch

  • Analytical scientists and innovation leaders looking for scalable, vendor-neutral ways to standardize and automate MS workflows across labs and sites.  
  • Developability and CMC characterization stakeholders using MS data and digital platforms to streamline biologics discovery and development, reduce optimization cycles, and accelerate timelines.  
  • VP/Director-level biopharma leaders building digital foundations in R&D and evaluating how AI and digital tools can accelerate timelines and deliver measurable impact.  
  • IT, informatics, and scientific software developers integrating legacy systems, enabling scalable infrastructure, and delivering user-friendly tools that strengthen scientific workflows. 

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