A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...
Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...
Introduction The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional ...
The semiconductor industry is increasingly turning to artificial intelligence as the solution for increasing complexity in test analytics, hoping algorithms can tame the growing flood of production ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results