César de la Fuente’s lab is using AI tools including Codex and ChatGPT to support the search for new antimicrobial molecules. By scanning genetic information from living and extinct organisms, the team is looking for promising candidates that could one day help address drug-resistant infections.
This is a compelling example of AI acting as a scientific accelerator. Instead of replacing researchers, these tools help navigate vast genomic datasets, generate ideas, and streamline parts of the discovery process so scientists can focus on validating the most promising leads.
Why it matters
- Drug resistance is a major global health threat, making the search for new antimicrobials increasingly urgent.
- Genomes are rich discovery spaces, but they are too large and complex to explore efficiently by hand.
- AI-assisted research can broaden the search to include unusual sources, including extinct organisms.
While these discoveries still need rigorous testing before becoming treatments, the work highlights a positive and practical use of AI in biomedical research: helping scientists uncover new possibilities in places that were previously difficult to explore at scale.