UCLA Researchers Develop AI that can Detect Viruses

Biosensing applications typically rely upon the characterization of specific analytes of target viruses, bacteria and proteins. Due to the chemical nature of biosensing and the necesisty of micro- or nano-scale particles, machines capable of running this tests are typically expensive and bulky, limiting their useful to address biosensing needs in low resource environments.

Recently, researchers from UCLA developed a faster and automated biosensing method that relies upon artificial intelligence. The method involves imaging the particle clusters as holograms and then reconstructing them into holograms to match them with known viruses. The researchers used this approach to detect herpes simplex virus, resulting in a detection limit of 5 viruses per microliter. 

For more information, see: https://phys.org/news/2019-01-artificial-intelligence-presence-viruses.html

-Ed