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Changing the Landscape of Screening: AI-Powered ASMS Ligand Identification


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In the race of accelerated drug discovery, the integration of artificial intelligence (AI) and machine learning (ML) with advanced screening technologies is transforming the way we identify hits. Join us for an insightful session exploring how AI/ML-driven enrichment is improving efficiency of affinity selection mass spectrometry (ASMS) approach in terms of timelines and costs.

 

This webinar will showcase how cutting-edge computational approaches are being applied to ASMS screening workflows to accelerate hit identification, uncovering novel binders with greater precision. Our expert speakers will walk through real-world applications, share performance metrics and discuss how these innovations can help re-shape early-stage discovery.

 

Whether you're a scientist, data analyst or decision-maker in biotech or pharma, this session will provide actionable insights into harnessing AI/ML for smarter, faster and highly confident hit discovery.


Attend this webinar to:
  • Understand how AI/ML technologies are integrated into ASMS workflows
  • Evaluate the impact of AI/ML-driven enrichment on screening efficiency
  • Gain knowledge of real-world application of AI/ML in hit discovery
Speakers
A greyscale headshot of Ghislaine Marchand
Ghislaine Marchand
Group Leader Biophysics
Evotec
A picture of Benedikt Bauer
Benedikt Bauer
Group Leader In Silico R&D
Evotec
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