Health

Using AI to fight drug-resistant infections



As antibiotic-resistant infections are projected to overtake cancer as the leading global health risk by 2050, the world urgently needs to find solutions to help detect and reduce mortality in the world. while reducing economic costs.

In the keynote, “The Digital Transformation of Healthcare: Intelligent Antimicrobial Systems (iAMS),” at HIMSS22 APAC, Dr. Der-Yang Cho, professor and director of China Medical University Hospital, emphasized the importance of developing a new generation of antibiotics using emerging technologies.

“Antibiotic stewardship and development of the next generation of antibiotics is critical and much needed,” he said, noting that AMRs claim the lives of 4.7 million people in Asia every year. five.

He noted from his presentation that drug-resistant infections lead to longer hospital stays and more likely complications with a 7.6% increase in mortality for every hour of delay in treatment. treatment. Unfortunately, he says, 30%-50% of currently prescribed antibiotics are inappropriately prescribed.

Furthermore, no new antibiotic has been registered to treat humans in more than four decades, Dr. Cho said.

In this regard, CMUH has developed an Intelligent Antimicrobial System (iAMS) that integrates the four platforms into one. The two information-based platforms are the clinical decision support system and the personalized antibiotic histogram, which displays the antibiotic susceptibility profile of a targeted organism. On the AI-assisted risk prediction side is MALDI-TOF mass spectrometry that predicts both bacterial antibiotic susceptibility and the risk of sepsis and death.

“We brought them together into a platform to automate antibiotic treatment,” explains Dr. Cho.

AI technology is now more than 80% accurate and has reduced reporting time from 72 hours to one hour.

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