-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
Oct 7, 2020 /--- In a recent study, researchers developed artificial intelligence (AI) technology that accurately predicts COVID-19 infections through standard blood tests.
it was developed by modeling and Prediction Pandemics (MaPP), a multi-agency research group.
(Photo: www.pixabay.com) The study may help address early prediction of disease outbreaks and the availability and speed of detection, two of the main challenges in the fight against pandemics.
using anonymous patient data from a hospital in Sao Paulo, the team found that they were able to accurately predict who was infected with the virus because of reduced plate plate plate levels and white blood cell types.
Bart Vorselaars, senior lecturer and project leader in mathematics and computer science at the University of Lincoln's School of Mathematics and Physics, was one of the team's key developers.
Ai predictions in standard blood test data can bring many benefits, including increased testing capabilities, lower costs, and faster and less susceptible to viral mutations than current rt-PCR tests," he said.
, this may help to detect outbreaks before they spread.
first results of the study, published in the June 2020 issue of the journal International Immunopharmacology, are among the first authors of the paper.
at the University of Lincoln, the University of Brighton, the University of Glasgow, the University of Sheffield and Oxford University continue to cross-verify the findings of St Paul's data and other data sources.
(bioon.com) Source: Researchers developed intelligence for early prediction of COVID-19 from standard blood tests Source: Abhirup Banerjee et al. Use of Machine Learning and Art Intelligence to predict SARS-CoV-2 infect from From Full Blood Counts in a population, International Immunopharmacology (2020). DOI: 10.1016/j.intimp.2020.106705.