In the domain of Diagnostic Microbiology, the study of antimicrobials holds paramount significance. The accurate and timely identification of microorganisms and their susceptibility to antimicrobial agents is imperative for effective patient management. Diagnostic microbiology employs a range of methodologies, including culture-based techniques, biochemical assays, and molecular diagnostics, to provide comprehensive insights into microbial infections. The integration of rapid diagnostic technologies has revolutionized the field, enabling healthcare professionals to make informed decisions on antimicrobial therapy promptly. Diagnostic microbiologists play a crucial role in combating antibiotic resistance by guiding clinicians towards judicious and targeted use of antimicrobials. In essence, Diagnostic Microbiology stands at the forefront of ensuring precision and efficacy in antimicrobial interventions, thereby contributing substantially to the practice of modern medicine.
Title : Diagnostic approaches, predictive and prognostic assessments, monitoring, treatment & management of infectious diseases and disease prevention
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : The accelerated timeline: Human ecology, climate change, and the next global outbreak
Claudia Ferreira, Sorbonne University, France
Title : Climate change and increasing death due to resistant infection
Yazdan Mirzanejad, University of British Columbia, Canada
Title : Recurrent klebsiella pneumoniae pyogenic liver abscess: Developing a literature-informed 0–2 scoring framework from a solved index case
Martha Grace McLean, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Post-hysterectomy pelvic abscess mimic: An AI-assisted diagnostic stewardship workflow
Setu Shiroya, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Building a clinical reasoning tool from post-transplant MRSA sepsis: A mentored ai workflow
Michaela Mitchell, Anne Burnett Marion School of Medicine at Texas Christian University, United States