Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept
Abstract The 2019 novel coronavirus infectious disease (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has created an unsustainable need for molecular diagnostic testing. Molecular approaches such as reverse transcription (RT) polymerase chain reaction (PCR...
Saved in:
| Main Authors: | Nam K. Tran, Taylor Howard, Ryan Walsh, John Pepper, Julia Loegering, Brett Phinney, Michelle R. Salemi, Hooman H. Rashidi |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/8ad3e556bb0b45b6a7003546f6af2a92 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rapid MALDI-TOF MS identification of commercial truffles
by: Khalid El Karkouri, et al.
Published: (2019) -
FEATURES OF BACILLUS ANTHRACIS IDENTIFICATION BY MALDI-TOF MS
by: E. A. Koteneva, et al.
Published: (2018) -
Identification of Borrelia species after creation of an in-house MALDI-TOF MS database.
by: Adriana Calderaro, et al.
Published: (2014) -
Diagnosis and mortality prediction of sepsis via lysophosphatidylcholine 16:0 measured by MALDI-TOF MS
by: Eun Hye Lee, et al.
Published: (2020) -
Morphological, molecular and MALDI-TOF MS identification of ticks and tick-associated pathogens in Vietnam.
by: Ly Na Huynh, et al.
Published: (2021)