Researchers created an affordable pneumatic exoskeleton glove that uses machine learning to decode forearm muscle signals and ...
Lee Kang-wook, Chief AI Officer (CAIO) at KRAFTON, presented a new agenda for game AI at one of the world's most prestigious ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
One of the biggest myths around artificial intelligence is that it can simply create a new medicine on its own. That is not ...
Abstract: This paper explored the hidden biomedical information from knee magnetic resonance (MR) images for osteoarthritis (OA) prediction. We have computed the cartilage damage index (CDI) ...
Abstract: Cyber-Physical Systems (CPS) embed computation and communication capability into its core to regulate physical processes and seamlessly mediate between the cyber and the physical world for ...
Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
The Forecast 2026 project pits soccer fans against AI and statistical models to see who predicts the 2026 World Cup match ...
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