Microbiologists spent years in laboratories to prove why some superbacteria are immune to antibiotics. And now…
Is another promising advance related to the Artificial intelligence (IA).
This time, the conquest emerged in the fight against superbacteria Antibiotic resistant: a new AI tool developed by Google solved a complex scientific problem in just 48 hours. To solve the same task, the Microbiologists took 10 years.
Professor José R Penadés and his investigation team of Imperial College London spent a decade investigating origins of superbacteria, focusing on how some bacteria become resistant to antibiotics.
The years of investigation culminated in the hypothesis that superbacteria could acquire “tails” of viruses, which would allow them to spread between different species. This unique theory had not been published or shared, making it a perfect test case for Google AI tool, known as “co-scientist”.
When Professor Penadés asked for help from AI, the tool generated quickly several plausible hypotheses, being the first of them to theory itself innovative team of Scientists.
AI not only confirmed the hypothesis of microbiologists but also proposed several other explanations viable – and one of which the investigation team had never considered.
The results were so accurate and timely that Penadés expressed their amazement, wondering if I would have somehow accessed to your unublished data. However, Google confirmed that the tool no had had access to your personal research.
A, Penades described the experience as “spectacular” and highlighted how tool suggestions accelerated the investigation; It will have spared years of effort.
“If we knew this from the beginning, We would have spared a decade of work“He said.
Without forgetting concerns about the impact of AI on jobs, including between researchers, the microbiologist did not hide that the Artificial Intelligence “will definitely change science”.
