Rapid parallel search technology for global control of the spread of respiratory infections

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.

Biography:

In 1992 Vyacheslav Shulunov entered the Buryat Branch of the Novosibirsk State University. In 1997 graduated from the Buryat State University, Ulan-Ude Russia and joined a junior-researcher at the Institute of Physical Materials Science of the Siberian Branch of the Russian Academy of Science. He received his Ph.D degree in Thermal Physics and Theoretical Heat Engineering in 2002 from the East Siberia State University of Technology and Management. The author of 3 patents of the Russian Federation, 4 certificate of state registration of the program, 12 Web of Science and Scopus articles – Scopus h-index: 5 (1 co-author in 2 publications).