Innovative Rapid Diagnostic Tool for Identifying Pathogens and Assessing Antimicrobial Resistance: Clinical Application in ICU Patients with Sepsis - Top-Institutions - MDSpire

Innovative Rapid Diagnostic Tool for Identifying Pathogens and Assessing Antimicrobial Resistance: Clinical Application in ICU Patients with Sepsis

  • By

  • Agata Chalasiewicz

  • Jakub Śmiechowicz

  • Patrycja Trzeciak

  • Ewa Lewczyk

  • Waldemar Goździk

  • Barbara Adamik

  • February 27, 2026

  • 0 min

Share

Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Infectious Diseases
    • Clinical Microbiology
    • Critical Care Medicine

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Clinical Microbiology
    • Infectious Diseases
    • Critical Care

  • #3

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Infectious Diseases
    • Clinical Microbiology
    • Critical Care Medicine

  • #4

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Infectious Diseases
    • Clinical Microbiology
    • Critical Care

  • #5

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Infectious Diseases
    • Clinical Microbiology
    • Critical Care Medicine

Original Source(s)

Innovative Rapid Diagnostic Tool for Identifying Pathogens and Assessing Antimicrobial Resistance: Clinical Application in ICU Patients with Sepsis

  • by Agata Chalasiewicz, Jakub Śmiechowicz, Patrycja Trzeciak, Ewa Lewczyk, Waldemar Goździk, Barbara Adamik

  • February 27, 2026

Related Content

Off by a beat: the effects of temporal misalignment in reinforcement learning for sepsis treatment

Immunometabolic reprogramming and glycolysis-associated signatures in sepsis: insights from single-cell RNA sequencing and machine learning

Characteristics and outcomes of type 2 myocardial infarction in sepsis survivors