Events

Lead AI keynote at the Asia-Pacific Theoretical and Computational Chemistry Conference

Lead AI's scientific work received a keynote presentation at the 2025 Asia-Pacific Theoretical and Computational Chemistry Conference.

Lead AI's scientific work received a keynote presentation at the conference in 2025.

Why this matters

Teams usually arrive asking for a model. More often the blocker is upstream — data pooled from different labs, assays and instruments that quietly disagree with each other.

• Structures and units standardised before modelling
• Conflicting measurements grouped by assay procedure
• Duplicates resolved and plausibility rules applied

What Stream does

Selective Cleaning groups measurements by the experimental procedure that produced them, selects the value backed by the largest body of evidence, and records why that choice was made instead of averaging incompatible procedures.

Cleaning is not a preprocessing step you run once. It is a decision you have to be able to defend.

On the published MDM2 benchmark, Selective Cleaning reduced RMSE from 0.74 to 0.58 — a 21.6 percent reduction in model error — and reached R² of 0.87. The method is peer reviewed and the pipeline is public for independent reproduction.