Machine learning "offers a promising avenue for analyzing large datasets with multiple variables and identifying patterns that may not be apparent through conventional statistical approaches," the ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

Darevsky DM, Hu DA, Gomez FA, et al. (2023). Algorithmic assessment of shoulder function using smartphone video capture and machine learning.

The wearable, noninvasive CardioTag is designed to capture electrocardiogram, photoplethysmogram, and seismocardiogram signals, as well as heart rate and pulse rate.

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

Embedded machine learning functions by installing machine learning capacities directly onto devices, like smartphones, negating the need for continuous cloud access.