Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Abstract: Holter systems record the electrocardiogram (ECG), which is used to identify beat families according to their origin and severity. Many systems have been proposed using signal conditioning ...

Abstract: This paper reviews the state-of-the-art neuromarkers development for the prognosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI). The first part of this paper is devoted to ...

For a paper published in the International Journal of Applied Cryptography, a team compared 11 leading large language models ...

X is boosting posts among mutual followers after finding that relationship data was missing from its algorithm, exposing the gap between predicting engagement and creating conversations people ...

From AI majors to traditional STEM degrees, here's what you should study if you want to work in artificial intelligence and ...

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...

The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...

These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.