Title : Rapid parallel search technology for global control of the spread of respiratory infections
Abstract:
Developed a Rapid Parallel Search (RPS) technology shows keys to preventing the spread of virus outbreaks by exactly and quickly identify sick and asymptomatic carriers. RPS uses the time-tested Scanning Electron Microscopy (SEM) and Artificial Neural Network (ANN) methods for detecting all known viruses and microorganisms in ~50 s with 99.999% precision without reagents that are hard or impossible to identify by molecular methods. The proposed solution presents simultaneous automatic recognition of hundreds of pathogens with scanning resolution of 0.5 nm for real-time monitoring of every one arrival/departure traveler in huge transcontinental airports. RPS features make it possible to monitor most of the inhabitants of million-plus cities daily and precisely.
