Table 3.
New technologies and emerging biomarkers for COVID-19.
| Technology | Example | Developer | Source |
|---|---|---|---|
| Omic-based | |||
| Protein interactomics | SARS-CoV-2 protein interaction map | QBI COVID Research Group | 105 |
| Efficient proteomics | Sick person proteome investigation by high throughput mass spectrometry Platform |
European collaborative team | 106 |
| Individual genetics | Person genome sequencing | Genomic England & GenOMICC | 107 |
| Bio-imaging | Coronavirus-19 mass spectrometry combination | MS alliance | 108 |
| AI/ML-based | |||
| Artificial intelligence medicine detection and improvement Stage |
BenevolentA | https://www.benevolent.com/covid-19 | |
| Coronavirus indication reading tracking app | ZOE, Massachusetts General Hospital, and King’s College of London | https://covid.joinzoe.com/us | |
| Structure-based | |||
| M(pro) structure-based fundamental in silicon | Different | 109 | |
| High-throughput in vitro screenings | China collaborative team | 109 | |
| Computational in silica examination of severe acute respiratory syndrome CoV-2 viral targets | University of Pennsylvania & Children’s Hospital of Philadelphia |
110 | |
| Nanotechnology | |||
| Nano-particles | Localized surface Plasmon resonance sensor | Empa, ETH Zurich, & Zurich University Hospital | 111 |
| Types of nanoparticles synthesized by carbon containing polymer | University of California, San Diego | 112 | |
| Sequencing of biopolymers specifically nucleotides | LamPORE | Oxford Nanopore Technologies | 110 |
| Fluorescence microscopy techniques | Nanoimager | ONI | https://oni.bio/covid19 |
| Digital technology | |||
| In coronavirus-19 recognition and translation of spoken language into text by computers | Carnegie Mellon University; and Cambridge University | https://voca.ai/corona-virus/https://covid-19-sounds.org/en/ | |
| COV-19 officially discouraged by governments, physicians and patient care organizations | Apple | https://www.apple.com/newsroom/2020/03/apple-releases-new-covid-19-app-and-website-based-on-CDCguidance/ | |
| For Coronavirus-19 used cardinal directions | Seqster | https://seqster.com/press/pressreleases/seqster-launches-covid-19-compass-based-on-cdc-guidelines-forhealthcare-enterprises | |
| Detect the RNA component of virus by Smartphone-based multiplex 30-min | University of Illinois, Urbana-Champaign | 113 | |
| MBioLIMS | |||
| Bio-repository | Biobanking coronavirus-19 stimulation | LabVantage Solutions | https://www.labvantage.com/your-labtype/biobanking/ |
| wwPDB | Primary protein structure database | Collaborative team from UVA, UAM, Poznan University of Technology, ICHB PAN, and NIH |
https://covid-19.bioreproducibility.org/ |
| Tomography | COVID DPR | Indica Labs and Octo | https://www.biospace.com/article/releases/indica-labs-octo-and-axlework-with-nih-to-launch-a-globalcovid-19-digital-pathology-repository/ |
Abbreviations: ICHB PAN, Institute of Bioorganic Chemistry of the Polish Academy of Sciences; COVID-19; coronavirus disease 2019; AI, artificial intelligence; UVA, University of Virginia; UAM, University of Adam Mickiewicz; QBI, Queensland Brain Institute; MS, mass spectrometry; NIH, National Institutes of Health; LSPR, localized surface plasmon resonance