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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