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'Fingerprint' ML Technique Identifies Different Bacteria in Seconds

29 点作者 NotAWorkNick大约 3 年前

1 comment

throwthere大约 3 年前
I guess the clinical relevance depends on how well you can tailor treatment based on it. AFAIK if docs don&#x27;t know a) the specific bug and [1] b) its antibiotic resistance and c) the patient is seriously or potentially going to be seriously ill they start out with broad spectrum anyway.[2]<p>Since the fingerprint technique doesn&#x27;t tell you antibiotic resistance the real benefit is probably identifying rare bugs early and to some degree avoiding broad-spectrum stuff and slowing down the sort of antibiotic resistance bacteria develop over a population over time.<p>[1] Docs can genrally guess the type of bug, or at least the class of bug, and even &quot;narrow-spectrum&quot; antibiotics can cover multiple classes<p>[2] For less serious infections docs go by likelihood tables and population features (ie-- UTIs are generally killed by X in this region of the world&#x2F;country). If that treatment fails, they try another one.
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