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Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...
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AI predicts when donor livers are viable, potentially slashing canceled transplants by 60%
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...
While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key ...
Based on available evidence, AI and social media use with children and teens should be minimized until we develop a better understanding of their impact on the developing brain.
Alberto Corigliano, Politecnico di Milano, explores the development of sentient materials and structures through the IMMENSE ...
Intentional biases are seen as a way to offset intrinsic biases in large language models. Click into any large language model ...
Tech Xplore on MSN
Cracking the code of complexity in computer science's P vs. NP problem
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...
A review by Professor Abdul Shukor JURAIMI’s team from Universiti Putra Malaysia points out that hyperspectral imaging ...
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