Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
RnD® platform connects targets, compounds and authenticated human cell models to reduce manual searching and enable ...
New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...
Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
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Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
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Machine learning vs deep learning: Which one is better?
Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
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