Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

N Peiffer-Smadja, TM Rawson, R Ahmad… - Clinical Microbiology …, 2020 - Elsevier
Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …

Recent advances in nanotechnology for simultaneous detection of multiple pathogenic bacteria

Y Shen, Y Zhang, ZF Gao, Y Ye, Q Wu, HY Chen, JJ Xu - Nano Today, 2021 - Elsevier
Owing to the environmental complexity in terms of the coexistence of multiple pathogenic
microorganisms, development of the simple, rapid, and accurate assay for simultaneous …

Sensitive fluorescence detection of SARS-CoV-2 RNA in clinical samples via one-pot isothermal ligation and transcription

CH Woo, S Jang, G Shin, GY Jung… - Nature Biomedical …, 2020 - nature.com
The control of viral outbreaks requires nucleic acid diagnostic tests that are sensitive, simple
and fast. Here, we report a highly sensitive and specific one-pot assay for the fluorescence …

Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives

S Kaur, J Singla, L Nkenyereye, S Jha, D Prashar… - IEEE …, 2020 - ieeexplore.ieee.org
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

Phage diversity in cell-free DNA identifies bacterial pathogens in human sepsis cases

NL Haddock, LJ Barkal, N Ram-Mohan, G Kaber… - Nature …, 2023 - nature.com
Bacteriophages, viruses that infect bacteria, have great specificity for their bacterial hosts at
the strain and species level. However, the relationship between the phageome and …

Systematic review of the impact of appropriate versus inappropriate initial antibiotic therapy on outcomes of patients with severe bacterial infections

M Bassetti, J Rello, F Blasi, H Goossens… - International journal of …, 2020 - Elsevier
We investigated the impact of appropriate versus inappropriate initial antimicrobial therapy
on the clinical outcomes of patients with severe bacterial infections as part of a systematic …

[HTML][HTML] Dynamical analysis of the nonlinear complex fractional emerging telecommunication model with higher–order dispersive cubic–quintic

C Park, MMA Khater, AH Abdel-Aty, RAM Attia… - Alexandria Engineering …, 2020 - Elsevier
In this paper, a nonlinear fractional emerging telecommunication model with higher–order
dispersive cubic–quintic is studied by using two recent computational schemes. This kind of …

Automated prediction of sepsis using temporal convolutional network

C Kok, V Jahmunah, SL Oh, X Zhou… - Computers in Biology …, 2020 - Elsevier
Multiple organ failure is the trademark of sepsis. Sepsis occurs when the body's reaction to
infection causes injury to its tissues and organs. As a consequence, fluid builds up in the …

Rapid identification of pathogens, antibiotic resistance genes and plasmids in blood cultures by nanopore sequencing

AM Taxt, E Avershina, SA Frye, U Naseer, R Ahmad - Scientific reports, 2020 - nature.com
Bloodstream infections (BSI) and sepsis are major causes of morbidity and mortality
worldwide. Blood culture-based diagnostics usually requires 1–2 days for identification of …

Monocyte distribution width (MDW) parameter as a sepsis indicator in intensive care units

E Piva, J Zuin, M Pelloso, F Tosato, P Fogar… - Clinical Chemistry and …, 2021 - degruyter.com
Abstract Objectives Patients in Intensive Care Units (ICU) are a high-risk population for
sepsis, recognized as a major cause of admission and death. The aim of the current study …