According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Abstract: Improving milk quality and safety through advanced prediction and monitoring systems addresses critical public health and sustainability challenges, aligning closely with Sustainable ...

Dog Vision: A web app that uses deep learning to identify dog breeds from uploaded images. Predicts breed with confidence score and provides Google search link for more information. User-friendly tool ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

Abstract: Skin cancer, especially melanoma, is one of the most threatening diseases of the modern world. Therefore, accurate and timely diagnosis is critical. This work proposes a methodology based on ...

MCED tests utilize liquid biopsies to detect multiple cancer types early, using ctDNA and other biomarkers analyzed by machine learning. Machine learning models, including deep learning, enhance MCED ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...