Technology
Technology
From AI to Real Binders
From AI to Real Binders
Novorex resolves virtual-hit inefficiency and false-positive risk by combining AI prediction, FBDD, and biophysical validation into a quality-driven discovery engine.
Novorex resolves virtual-hit inefficiency and false-positive risk by combining AI prediction, FBDD, and biophysical validation into a quality-driven discovery engine.
06 / Data Quality & AI Learning Efficiency
U-Curve evidence model
Highly pure biophysical data supports AI learning and early decision quality, while high-value downstream evidence moves closer to the final answer.
06 / 08
Evidence Model
Data quality across experimental stages
The U-Curve shows why direct biophysical evidence is valuable for AI learning, and how clinical evidence provides total downstream validation.
PureBiophysical signal for precise early learning
NoiseMediated biochemical and cellular uncertainty
TotalHigh-value clinical evidence close to the final answer
