BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
IEEE

A Comprehensive Review of Cell-Type Deconvolution in Spatial Transcriptomic Data

Abstract: Deciphering cell-type composition is critical for charting single-cell spatial maps and cellular atlases of organisms. Most Spatial Transcriptomics (ST) data lack single-cell resolution, ...

Cipher Mining: Future AI Data Center Powerhouse

Cipher Mining lands billion-dollar AI data center leases with AWS & Fluidstack, shifting revenue focus by 2027. Learn more ...

Scientists Discover Hundreds of New Species in One of Earth’s Least Explored Realms

Deep-sea mining trials revealed significant but localized biodiversity loss in one of the planet’s least explored ecosystems.

Database integrates deep-sea multi-omics data to study adaptation in extreme environments

The Hong Kong University of Science and Technology (HKUST), in collaboration with the Southern Marine Science and Engineering ...
IEEE

Data Mining and Bioinformatics Approaches to Elucidate Bacterial Communities in the Extreme Environment

Abstract: Bacteria are microscopic organisms that can be found in many environments. They are abundant and have many roles in our life. Studying bacteria is essential so that we can identify the ...