In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...

By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...

1 Guangzhou Academy of Fine Arts, School of Visual Arts Design, Guangzhou, China 2 The Innovation School of Great Bay Area, Guangzhou Academy of Fine Arts, Guangzhou, China Project-based learning (PBL ...

This project focuses on predicting depression among students using various machine learning models. It explores relationships between key factors like sleep duration, gender, financial stress, ...

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...

Today’s students are accumulating more stressors and mental health issues than ever before. According to Hunter Wesolowski, director of educational resources at ProCare Therapy, burnout is a growing ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...

Being able to predict and debate the outcome of sports is a big part of sports fandom. It unites fellow passionate sports fans and increases the sports fans’ engagement. In addition, innovations like ...