Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers your risk of disease, improves your mood, and boosts energy levels.

Researchers use machine learning to predict exercise adherence. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250418112823.htm ...

Using machine learning models researchers have found in a new study that increased physical activity and reduced sedentary ...

Machine Learning Enhances Aerosol Predictions. 1w. ... and human health. ... Using machine learning resulted in notable reductions in RMSE and MAE and increased EV for aerosol types such as OA, ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

After giving birth, new mothers typically return for a follow-up appointment six to eight weeks later. But if postpartum depression symptoms emerge, “that can be a really long time for someone who is ...

Instead, researchers can use the unlabeled data as a warm-up for the machine-learning algorithm. This warm-up, or pretraining , primes the algorithm to find a relationship between the bio-signal ...

Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. While machine ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.