UK: A machine learning analysis of coronary CT angiography (CCTA) scans has found that skeletal muscle quality may provide ...
Developing a Metabolic-Associated Prognostic Index for Risk Stratification and Therapeutic Guidance in Stage I Lung Adenocarcinoma via Multiomics Analysis Using the National Cancer Database, we ...
Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...
Recent discussion of artificial intelligence in intelligence analysis has consistently framed the technology as a means of accelerating an existing process. The intelligence cycle (collection, ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Enlaye's platform provides recommendations to mitigate potential construction problems by analyzing how different construction activities could collide or otherwise create issues using graph neural ...
Scientists at the Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome sequencing and evolutionary action machine learning to identify protein ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results