A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...
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The next frontier of machine learning: 2026 breakthroughs and the rise of world models
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in ...
Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...
IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...
Software simulates 370,000 steps in under 100 hours, potentially cutting demand for time on supercomputers by orders of ...
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