A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Tech Xplore on MSN
Robots that refuse to fail: AI evolves 'legged metamachines' that reassemble and withstand injury
Northwestern University engineers have developed the first modular robots with athletic intelligence. They can be combined ...
Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...
Interesting Engineering on MSNOpinion
How AI-powered warfare in Iran shrinks the distance between data and destruction
The joint U.S. and Israeli offensive on Iran has done more than escalate a ...
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