The Hidden Value of Failure: Why Negative Data is Critical for AI-Driven Drug Discovery
Escape the uncertainty of black box predictions with explainable AI models trained on positive and negative data.
Escape the uncertainty of black box predictions with explainable AI models trained on positive and negative data.
Learn how to unlock new chemical space with generative AI methods that expand options for drug discovery.
Oct. 28 – 30, 2025 Frankfurt, Germany
Oct. 21 – 22, 2025 Liverpool, UK
Scientific validation of ChemisTwin™ showing 97% accuracy in automated NMR analysis across multiple test conditions.
Describes creation of sustainable Digital Reference Materials from certified standards for accurate NMR analysis.
Compare manual vs. automated NMR analysis showing ChemisTwin™ delivers 50% faster, more accurate compound identification.
Integrated In Silico Workflows for Small Molecule Discovery [...]
Periodic Insights: September 2025 Edition Welcome to [...]
Sept. 29 – Oct. 1, 2025 Lisbon, Portugal