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Scientists unveil AI that creates never-before-seen molecules to speed up drug discovery

Published

10 July 2026

Topic

opportunities

◆ Sectors

Digital Health

◆ Geography

Spain

◆ Source

Read at futura-sciences.com →

◆ Verified

Fusion42 · 10 July 2026 · Fusion42 review

Researchers at Rovira i Virgili University in Spain have developed CoCoGraph, an AI system using diffusion models to generate chemically valid molecules at scale, achieving 40% human expert deception rates and outperforming competing tools on two-thirds of physicochemical property tests. The breakthrough could accelerate drug discovery and materials science by systematically exploring the vast chemical space of 10^60 possible molecules.

This Wire brief sits within Fusion42's coverage of Digital Health.

◆ ◆ The Wire takeaway

If you're building drug discovery software or screening tools, your moat just shrank: generative chemistry is now good enough that humans can't tell AI molecules from real ones 40% of the time, and it runs on less compute than alternatives. Your next customer won't need you to find molecules—they'll need you to validate, synthesise, or optimise what an AI generates.

◆ Coverage

1 source · 10 Jul 2026

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◆ Topics

Digital Healthai-drug-discoverygenerative-moleculescomputational-chemistryhealthtech-aidiffusion-models