Metabolomics in the Diagnosis and Prognosis of COVID-19

MR Hasan, M Suleiman, A Perez-Lopez - Frontiers in Genetics, 2021 - frontiersin.org
Coronavirus disease 2019 (COVID-19) pandemic triggered an unprecedented global effort
in developing rapid and inexpensive diagnostic and prognostic tools. Since the genome of …

Application and perspectives of MALDI–TOF mass spectrometry in clinical microbiology laboratories

E Torres-Sangiao, C Leal Rodriguez, C García-Riestra - Microorganisms, 2021 - mdpi.com
Early diagnosis of severe infections requires of a rapid and reliable diagnosis to initiate
appropriate treatment, while avoiding unnecessary antimicrobial use and reducing …

Evolving applications of artificial intelligence and machine learning in infectious diseases testing

NK Tran, S Albahra, L May, S Waldman… - Clinical …, 2022 - academic.oup.com
Background Artificial intelligence (AI) and machine learning (ML) are poised to transform
infectious disease testing. Uniquely, infectious disease testing is technologically diverse …

How MALDI-TOF mass spectrometry technology contributes to microbial infection control in healthcare settings

A Elbehiry, M Aldubaib, A Abalkhail, E Marzouk… - Vaccines, 2022 - mdpi.com
Healthcare settings have been utilizing matrix-assisted laser desorption ionization time-of-
flight mass spectrometry (MALDI-TOF MS) since 2010. MALDI-TOF MS has various benefits …

Machine learning in health care and laboratory medicine: General overview of supervised learning and Auto‐ML

HH Rashidi, N Tran, S Albahra… - International Journal of …, 2021 - Wiley Online Library
Artificial Intelligence (AI) and machine learning (ML) have now spawned a new field within
health care and health science research. These new predictive analytics tools are starting to …

[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives

SG Paul, A Saha, AA Biswas, MS Zulfiker, MS Arefin… - Array, 2023 - Elsevier
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …

Spectroscopic methods for COVID-19 detection and early diagnosis

A Bedair, K Okasha, FR Mansour - Virology Journal, 2022 - Springer
The coronavirus pandemic is a worldwide hazard that poses a threat to millions of
individuals throughout the world. This pandemic is caused by the severe acute respiratory …

Integrating automated machine learning and interpretability analysis in architecture, engineering and construction industry: A case of identifying failure modes of …

D Liang, F Xue - Computers in Industry, 2023 - Elsevier
Abstract Machine learning (ML) has been recognized by researchers in the architecture,
engineering, and construction (AEC) industry but undermined in practice by (i) complex …

Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows

EC Day, SS Chittari, MP Bogen, AS Knight - ACS Polymers Au, 2023 - ACS Publications
Synthetic polymers are highly customizable with tailored structures and functionality, yet this
versatility generates challenges in the design of advanced materials due to the size and …

Comparing machine learning screening approaches using clinical data and cytokine profiles for COVID-19 in resource-limited and resource-abundant settings

HH Rashidi, A Ikram, LT Dang, A Bashir, T Zohra… - Scientific Reports, 2024 - nature.com
Accurate screening of COVID-19 infection status for symptomatic patients is a critical public
health task. Although molecular and antigen tests now exist for COVID-19, in resource …