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FRI · 2026-08-07 · 03:48 GMTBRIEF NSR-2026-0807-99986
News/AI used to create viruses not found in nature for first time
NSR-2026-0807-99986News Report·EN·Technology

AI used to create viruses not found in nature for first time

US researchers from Stanford University and the Broad Institute of MIT and Harvard have used artificial intelligence to create 16 new, viable viruses. Published in the journal Science, the study details how AI generated thousands of phage genomes based on a natural template.

John PowerAl JazeeraFiled 2026-08-07 · 03:48 GMTLean · CenterRead · 2 min
AI used to create viruses not found in nature for first time
Al JazeeraFIG 01
Reading time
2min
Word count
294words
Sources cited
0cited
Entities identified
8entities
Quality score
100%
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Briefing Summary

AI-generated
NEWSAR · AI

US researchers from Stanford University and the Broad Institute of MIT and Harvard have used artificial intelligence to create 16 new, viable viruses. Published in the journal Science, the study details how AI generated thousands of phage genomes based on a natural template. Researchers then synthesized and tested nearly 300 of these genomes, resulting in the successful creation of the novel viruses. These AI-generated viruses demonstrated increased effectiveness in killing E. coli bacteria compared to natural counterparts in laboratory tests. This breakthrough opens possibilities for medical advances, such as developing resilient phage therapies, but also raises concerns about the potential misuse of the technology.

Confidence 0.90Claims 4Entities 8
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Article analysis

Model · rule-based
Framing
Technology
Public Health
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AI-assessed
CalmNeutralAlarmist
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0.80 / 1.00
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Key claims

4 extracted
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This approach expands synthetic genomics and lays a path for generating adaptive phage therapies.

quoteResearchers in the journal Science
Confidence
1.00
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Generative models can produce complete bacteriophage genomes divergent from nature with prespecified traits.

quoteResearchers in the journal Science
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1.00
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The synthetic viruses proved more effective at killing E coli bacteria than naturally occurring viruses in tests.

factualStanford University and the Broad Institute of MIT and Harvard
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US researchers created 16 viable viruses using AI from a naturally occurring phage template.

factualStanford University and the Broad Institute of MIT and Harvard
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1.00
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Full report

2 min read · 294 words
US researchers say they created 16 viruses using AI, prompting hopes for medical advances and concerns about misuse.US researchers have announced the creation of new viruses using Artificial Intelligence, a scientific first that raises hopes for advances in medical treatments while also stoking anxiety about the dangers of the frontier technology.In findings published in the journal Science, researchers at Stanford University and the Broad Institute of MIT and Harvard said they used a naturally occurring phage – a type of virus that infects bacteria – as a template to generate thousands of genomes with AI.Recommended Stories list of 4 itemslist 1 of 4‘No red line’: South Lebanon residents outraged as Israel resumes strikeslist 2 of 4Travel restrictions – from Israel and Europe – trap students in Gazalist 3 of 4After the floods, hunger: Mozambique’s second disasterlist 4 of 4Do you know who owns the media you watch?end of listThe researchers chemically synthesised nearly 300 of the genomes and tested them in laboratory conditions, resulting in 16 “viable” viruses, according to the findings published on Thursday.In tests, a mixture of the synthetic viruses proved more effective at killing E coli bacteria than the naturally occurring viruses, according to the findings.“Our results demonstrate that generative models capture evolutionary constraints in DNA sequences with enough fidelity to produce complete bacteriophage genomes divergent from those observed in nature and with prespecified traits,” the researchers wrote in Science.“Our approach expands what synthetic genomics can achieve alongside methods such as directed evolution and rational engineering, lays out a path for generating adaptive and resilient phage therapies against rapidly evolving pathogens, and establishes a foundation for the generative design of larger, more complex genomes.”Brian Hie and Samuel King, two of the paper’s authors, did not immediately respond to requests for comment.
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Entities

8 identified
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Keywords & salience

10 terms
artificial intelligence
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synthetic viruses
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generative models
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medical advances
0.70
bacteriophage
0.60
synthetic genomics
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phage therapies
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stanford university
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misuse concerns
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e coli bacteria
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