| Title | Detection Principle | DOI | Testing Method Category | Peer Reviewed | Navigate |
|---|---|---|---|---|---|
| Title: Establishment and validation of a pseudovirus neutralization assay for SARS-CoV-2 | Detection principle: Others | DOI: 10.1080/22221751.2020.1743767 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Supersensitive Multifluorophore RNA-FISH for Early Virus Detection and Flow-FISH by Using Click Chemistry | Detection principle: Others | DOI: 10.1002/cbic.202000081 | Testing method category: Other | Peer reviewed: No | Go to details |
| Title: Efficient Deep Network Architecture for COVID-19 Detection Using Computed Tomography Images | Detection principle: Others | DOI: 10.1101/2020.08.14.20170290 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Identification of novel mutations in RNA-dependent RNA polymerases of SARS-CoV-2 and their implications | Detection principle: Others | DOI: 10.1101/2020.05.05.079939 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: ai-corona: Radiologist-Assistant Deep Learning Framework for COVID-19 Diagnosis in Chest CT Scans | Detection principle: Others | DOI: 10.1101/2020.05.04.20082081 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: The UCSC SARS-CoV-2 Genome Browser | Detection principle: Others | DOI: 10.1101/2020.05.04.075945 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: COVIDier: A Deep-learning Tool For Coronaviruses Genome And Virulence Proteins Classification | Detection principle: Others | DOI: 10.1101/2020.05.03.075549 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Urine Proteome of COVID-19 Patients | Detection principle: Others | DOI: 10.1101/2020.05.02.20088666 | Testing method category: | Peer reviewed: No | Go to details |
| Title: 2019-nCoV: The identify-isolate-inform (3I) Tool applied to a novel emerging coronavirus | Detection principle: Others | DOI: 10.5811/westjem.2020.1.46760 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Ultra-fast and onsite interrogation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in environmental specimens via surface enhanced Raman scattering (SERS) | Detection principle: Others | DOI: 10.1101/2020.05.02.20086876 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Automatic Detection of COVID-19 Using X-ray Images with Deep Convolutional Neural Networks and Machine Learning | Detection principle: Others | DOI: 10.1101/2020.05.01.20088211 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Fully automatic deep convolutional approaches for the analysis of Covid-19 using chest X-ray images | Detection principle: Others | DOI: 10.1101/2020.05.01.20087254 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Estimating false-negative detection rate of SARS-CoV-2 by RT-PCR | Detection principle: Others | DOI: 10.1101/2020.04.05.20053355 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Early phases of COVID-19 are characterized by a reduction of lymphocyte populations and the presence of atypical monocytes | Detection principle: Others | DOI: 10.1101/2020.05.01.20087080 | Testing method category: | Peer reviewed: No | Go to details |
| Title: TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING | Detection principle: Others | DOI: 10.1101/2020.05.01.20086207 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Increasing testing throughput and case detection with a pooled-sample Bayesian approach in the context of COVID-19 | Detection principle: Others | DOI: 10.1101/2020.04.03.024216 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Large-scale, in-house production of viral transport media to support SARS-CoV-2 PCR testing in a multi-hospital healthcare network during the COVID-19 pandemic | Detection principle: Others | DOI: 10.1128/JCM.00913-20 | Testing method category: | Peer reviewed: No | Go to details |
| Title: In situ detection of SARS-CoV-2 in lungs and airways of patients with COVID-19 | Detection principle: Others | DOI: 10.1038/s41379-020-0595-z | Testing method category: Mixed | Peer reviewed: No | Go to details |
| Title: An approach to a perceived risk of venous thromboembolism in non-ICU COVID-19 patients in Singapore | Detection principle: Others | DOI: 10.1177/2010105820943904 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Assessment of the outbreak risk, mapping and infestation behavior of COVID-19: Application of the autoregressive and moving average (ARMA) and polynomial models | Detection principle: Others | DOI: 10.1101/2020.04.28.20083998 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: A possible role of immunopathogenesis in COVID-19 progression | Detection principle: Others | DOI: 10.1101/2020.04.28.20083089 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Can AI Help in Screening Viral and COVID-19 Pneumonia? | Detection principle: Others | DOI: 10.1109/ACCESS.2020.3010287 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: A comparison of health care worker-collected foam and polyester nasal swabs in convalescent COVID-19 patients | Detection principle: Others | DOI: 10.1101/2020.04.28.20083055 | Testing method category: | Peer reviewed: No | Go to details |
| Title: Curbing the AI-induced enthusiasm in diagnosing COVID-19 on chest X-Rays: the present and the near-future | Detection principle: Others | DOI: 10.1101/2020.04.28.20082776 | Testing method category: In_silico | Peer reviewed: No | Go to details |
| Title: Pre-test probability for SARS-Cov-2-related Infection Score: the PARIS score | Detection principle: Others | DOI: 10.1101/2020.04.28.20081687 | Testing method category: In_silico | Peer reviewed: No | Go to details |
The database contains available information from scientific literature that is being updated periodically. Please note that the provided information (as retrieved from analysed papers) is provided only for devices commercially available with CE-IVD mark. Acknowledgements