Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections

Treatment of bacterial infections currently focuses on choosing an antibiotic that matches a pathogen's susceptibility, with less attention paid to the risk that even susceptibility-matched treatments can fail as a result of resistance emerging in response to treatment. Combining whole-genome s...

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Veröffentlicht in:	Science (American Association for the Advancement of Science) 2022-02, Vol.375 (6583), p.889-894
Hauptverfasser:	Stracy, Mathew, Snitser, Olga, Yelin, Idan, Amer, Yara, Parizade, Miriam, Katz, Rachel, Rimler, Galit, Wolf, Tamar, Herzel, Esma, Koren, Gideon, Kuint, Jacob, Foxman, Betsy, Chodick, Gabriel, Shalev, Varda, Kishony, Roy
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anti-Bacterial Agents - therapeutic use Antibiotic resistance Antibiotics Bacteria - drug effects Bacteria - genetics Bacterial diseases Bacterial Infections - drug therapy Bacterial Infections - microbiology Drug resistance Drug Resistance, Bacterial Escherichia coli Infections - drug therapy Escherichia coli Infections - microbiology Female Humans Infections Machine Learning Male Microbial Sensitivity Tests Microbiomes Microbiota Mutation Patients Reinfection - microbiology Urinary tract Urinary Tract Infections - drug therapy Urinary Tract Infections - microbiology Whole Genome Sequencing Wound Infection - drug therapy Wound Infection - microbiology
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