Digitising the prediction and management of sepsis. | Lancet;399(10334): 1459, 2022 04 16. | MEDLINE

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Digitising the prediction and management of sepsis.

Kheterpal, Sachin; Singh, Karandeep; Topol, Eric J.

Kheterpal S; Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA. Electronic address: sachinkh@med.umich.edu.
Singh K; Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA.
Topol EJ; Scripps Research Translational Institute, Scripps Research, La Jolla, CA, USA.

Lancet ; 399(10334): 1459, 2022 04 16.

Article in English | MEDLINE | ID: covidwho-1882653

Subject(s)

Sepsis; Humans; Sepsis/diagnosis; Sepsis/therapy

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Sepsis Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Lancet Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Sepsis Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Lancet Year: 2022 Document Type: Article