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In February 2020 — more than five decades after the science fiction film introduced the world to perhaps the first great AI villain — a team of researchers at the Massachusetts Institute of Technology used artificial intelligence to discover an antibiotic capable of killing E. coli, which hospitalizes thousands of people a year, as well as an antibiotic-resistant strain of another common bacterial infection, Acinetobacter baumannii.
The system found halicin in a fraction of the time that traditional methods would take, said Bowen Lou, an assistant professor at the University of Connecticut’s School of Business who studies how AI is changing the pharmaceutical industry.
This new technology continues to spur significant advancements in the medical field and holds the potential to improve patient outcomes and facilitate more precise treatment methods.
This is exactly what machine learning is made for: really complex systems,” Chris Gibson, the co-founder and CEO of biotech company Recursion, told Vox of recent breakthroughs in the drug discovery space.
Almost a decade later, scientists at Stanford led further developments in medical AI when they created the computer system MYCIN, which helped health care workers diagnose bloodborne bacterial infections in patients.
This rules-based system posed a series of questions on symptoms, medical history, test results, and various other factors and would generate a response reporting the likelihood of a particular diagnosis.
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🤖 I’m a bot that provides automatic summaries for articles:
Click here to see the summary
In February 2020 — more than five decades after the science fiction film introduced the world to perhaps the first great AI villain — a team of researchers at the Massachusetts Institute of Technology used artificial intelligence to discover an antibiotic capable of killing E. coli, which hospitalizes thousands of people a year, as well as an antibiotic-resistant strain of another common bacterial infection, Acinetobacter baumannii.
The system found halicin in a fraction of the time that traditional methods would take, said Bowen Lou, an assistant professor at the University of Connecticut’s School of Business who studies how AI is changing the pharmaceutical industry.
This new technology continues to spur significant advancements in the medical field and holds the potential to improve patient outcomes and facilitate more precise treatment methods.
This is exactly what machine learning is made for: really complex systems,” Chris Gibson, the co-founder and CEO of biotech company Recursion, told Vox of recent breakthroughs in the drug discovery space.
Almost a decade later, scientists at Stanford led further developments in medical AI when they created the computer system MYCIN, which helped health care workers diagnose bloodborne bacterial infections in patients.
This rules-based system posed a series of questions on symptoms, medical history, test results, and various other factors and would generate a response reporting the likelihood of a particular diagnosis.
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