Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...
Overview AI growth in 2025 relies heavily on large, open, and legal datasets.Combining text and image data enables smarter, ...
Deep learning’s most valuable capability lies in processing vast datasets in near real-time, advancing advertiser data ...
Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...
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Deep learning algorithm uses mammograms and age for heart disease prediction
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...
A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...
Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...
AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.
Released by the USC Centre for Generative AI and Society, the report highlights how students and educators from the United ...
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