The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
3don 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 after stem cell and bone marrow transplants, according to new research ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...
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