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SciBite / Knowledge Hub / Resources / TIDVal Ecosystems of FAIR Data Lakes Enabling AI-Augmented Analysis, Modeling, and Reporting [Takeda webinar]

TIDVal Ecosystems of FAIR Data Lakes Enabling AI-Augmented Analysis, Modeling, and Reporting [Takeda webinar]
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Marcin von Grotthuss, the Director of AI/ML Enablement and Modeling at Takeda, explores innovative approaches to accelerate and enhance drug discovery and development using FAIR Data Lakes and advanced AI/ML techniques. 

Traditional drug development is hampered by inefficiencies, high costs, and frequent failures due to inaccurate target identification. This webinar showcases how One Research Digital leverages SciBite tools as part of its harmonized metadata, robust data governance, and cutting-edge platforms—such as genomics, clinical, and target assessment data lakes—to address these challenges. 

Key use cases include:
– Mapping patient variants and phenotypes to 3D protein structures for mechanistic insights,
– Automated target assessment reporting to streamline decision-making,
– AI-augmented target identification using graph-based foundation models. 

This webinar will demonstrate significant improvements in prediction accuracy and ranking through fine-tuned AI models, highlighting the transformative potential of FAIR Data combined with AI for smarter, faster therapeutic target identification and validation. 

Presenter(s): 

  • Marcin von Grotthuss, Director of AI/ML Enablement and Modeling at Takeda
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Richard Harrison
Senior Manager, Portfolio Marketing, SciBite

Richard is a seasoned marketing professional with over two decades of experience in the information services and life sciences sectors. Currently, he is the Senior Manager, Portfolio Marketing at Elsevier’s SciBite, where he drives strategic campaigns and harnesses data-driven strategies to amplify the platform’s online visibility and impact.

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