A recent study found that people with T cells could never be infected with coronavirus. But how to detect who has 'T-cells' in their body or who doesn't have 'T-cells' in their body by Artificial Intelligence?
Artificial intelligence (AI) is already helping in COVID-19 pandemic. Have a look at these articles to see how?
1. Preprint Artificial Intelligence in the Battle against Coronavirus (C...
2. Article COVID-19 and artificial intelligence: protecting health-care...
3. Article Artificial Intelligence and COVID-19: A Multidisciplinary Approach
4. Article Artificial Intelligence (AI) applications for COVID-19 pandemic
5. Article Artificial Intelligence during a pandemic: The COVID ‐19 example
6. Article Current Applications of Artificial Intelligence for COVID‐19
T cell is a type of lymphocyte, which develops in the thymus gland and plays a central role in the immune response. T cells can be distinguished from other lymphocytes by the presence of a T-cell receptor on the cell surface. These immune cells originate as precursor cells, derived from bone marrow, and develop into several distinct types of T cells once they have migrated to the thymus gland. T cell differentiation continues even after they have left the thymus.
Cell detection and segmentation are performed by Bayesian modeling and local region threshold method. The segmented cell is classified by both SVM classifier and Bayesian classifier and their performance is evaluated. Is there any other alternative?
IET is presenting a free webinar today June 10 that you might find interesting:
AI for Drug Discovery in the Epidemic Era
Free to attend
Date: Wednesday, June 10, 2020
Time: 3:30 pm BST
Duration: 2 hours
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&partnerref=email6&eventid=2268824&sessionid=1&key=5E5FDFEC6DE124E15FB5E069B3E98995®Tag=&sourcepage=register