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

TIDVal Ecosystems of FAIR Data Lakes webinar

Event Info

Event Date: 14 October 2025

Event time: 6AM PDT | 9AM EDT | 2PM BST | 3PM CET

Location: Online

 

TIDVal Ecosystems of FAIR Data Lakes Enabling AI-Augmented Analysis, Modeling, and Reporting

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. 

Join us to discover how these integrated digital ecosystems are paving the way for more precise, efficient, and personalized medicine. 

Can’t make it? You can register your interest, and we’ll send you a recording.

 REGISTER

Presenter(s): 

  • Marcin von Grotthuss, Director of AI/ML Enablement and Modeling at Takeda
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