Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...
In today's hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
This paper examines whether biological age, as distinct from chronological age, could become a new basis for discrimination.
Prof Alaide Chieffo provides insight into how the GEDI-ACS study is redefining the understanding and management of ACS in ...
In asset-intensive industries, misclassified parts and inaccurate bills of materials cost far more than storeroom space. AI ...
By analyzing CpG-based DNA methylation, the model achieved 87% accuracy when applied to 31 cases representing 17 different cancer types.
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Lessons learned from developing an inferential model for predicting food insecurity yield essential insights and actionable ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results