Once outside the body, stored blood begins degrading until, by day 42, they're no longer usable. Until now, assessing its quality has required laborious microscopic examination by human experts. A new study reveals two methodologies that combine machine learning and state-of-the-art imaging to automate the process and eliminate human bias. If standardized, it could ensure more consistent, accurate assessments, with increased efficiency and better patient outcomes.
from Top Health News -- ScienceDaily https://ift.tt/3jaEFkl
Subscribe to:
Post Comments (Atom)
Omicron has cast a shadow of uncertainty on growth outlook: IndiGo CEO
However, the airline is stronger now when compared to situation in 2020 during the first wave of the pandemic, says Ronojoy Dutta from Com...
-
While sales to original equipment manufacturers declined 16.3% year on year in FY20, the replacement market sales declined by a modest 2.6% ...
-
India's passenger vehicle sales are expected to grow between 3-5 percent in the current fiscal year, after expanding at the slowest pace...
-
The earnings momentum has been quite resilient and the policy momentum quite focused towards improving the infrastructure and attractiveness...
No comments:
Post a Comment