2don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results