Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Wearable video game technology showed promising results with helping chronic stroke survivors recover movement and motor ...

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...

Timely and accurate prediction of poststroke motor outcome is important for efficient rehabilitation planning and resource allocation. Existing bedside models for predicting upper-limb outcome after ...

Abstract: This study introduces a robust machine learning framework that aims at enhancing stroke risk prediction and supporting global health objectives to reduce stroke-related morbidity and ...

How prediction market “sharps” have made millions wagering on everything from war to Rotten Tomatoes. Credit...Illustration by Danielle Del Plato Supported by By Adam Iscoe The joke among young men ...

In the late 2000s, “mobile-first” emerged as a design discipline. The argument was a single sentence: don’t design for the big screen and squeeze it down. Start with the small screen, the harder ...

To systematically review the literature on the application of machine learning models in post-stroke aphasia, and to provide a reference for the construction and clinical application of related models ...

AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...

ACUTE ischemic stroke outcome prediction may be improved by a reasoning enhanced large language model that can extract prognostic value from routine clinical notes, according to findings presented at ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...