DMHTs sit within a broader wave of digital health technologies, helping manage a range of issues such as asthma with smart ...
It seems like every AI researcher these days has lots of ideas around how to combat major shortcomings in the field, such as ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
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Learning from the global AI race: Why we must lead on AI governance in Africa
By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Building on a strategy Xtrackers has run since 2019 – now with approximately $7 billion in assets under management globally ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
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