Personal Antibiotic Prescriptions Halve Resistance Risk
As most infections are seeded by a patients own microbiota, resistance-gaining recurrences can be predicted and minimized.
Source: newsweek.com
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Personal antibiotic prescriptions halve resistance risk
As most infections are seeded from a patient’s own microbiota, resistance-gaining recurrences can be predicted and minimized by machine learning.
Gabriel Chodick Varda Shalev Roy Kishony Mathew Stracy Nitzan Zohar Technion Spokesperson Office Innovation Center
Source: israel21c.org
Israeli study finds custom prescriptions can slow antibiotic resistance
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.
Nitzan Zohar Technion Mathew Stracy Innovation Center Israel Science Foundation Bonnie Beutler Research Program Of Excellence European Research Council
Source: jpost.com
Machine learning model identifies factors that contribute to antibiotic resistance in recurrent infections
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.
Mary Dunlop Jean Baptiste Lagagne Mathew Stracy Emily Henderson Antibiotic Resistance Machine Learning
Source: news-medical.net
Machine Learning Antibiotic Prescriptions Can Help Minimize Resistance Spread
Using genomic sequencing techniques and machine learning analysis of patient records, Israeli researchers have developed an antibiotic prescribing algorithm tha
Gabriel Chodick Varda Shalev Roy Kishony Mathew Stracy Innovation Center National Institutes Of Health
Source: newswise.com