Personal Antibiotic Prescriptions Halve Resistance Risk
As most infections are seeded by a patient's own microbiota, resistance-gaining recurrences can be predicted and minimized.
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As most infections are seeded by a patient's own microbiota, resistance-gaining recurrences can be predicted and minimized.
As most infections are seeded from a patient’s own microbiota, resistance-gaining recurrences can be predicted and minimized by machine learning.
AI could be used to decrease the risk of antibiotic resistance by 50 percent, according to new research by the Technion and Maccabi KSM Research and Innovation Center.
A machine learning model built with data from thousands of patients with wound infections and urinary tract infections identified the factors that contribute to antibiotic resistance in recurrent infections.
Using genomic sequencing techniques and machine learning analysis of patient records, Israeli researchers have developed an antibiotic prescribing algorithm tha