Spatial mapping technique allows researchers to understand tumor architecture

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...
News-Medical.Net

New algorithm enables precise subtyping of metabolic liver disease

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Frontiers

Passive Brain-Computer Interfaces: Moving from Lab to Real-World Application

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...
Scientific Research Publishing

A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of Mosquito-Borne Diseases ()

Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...

Spatial atlas reveals unique coordination among cell types that support healthy human skin

Mount Sinai researchers have published the first organ-wide human skin spatial atlas from across the body. It provides an ...
IEEE

A Fully Unsupervised Online Classification Algorithm for Event-Related Potential based Brain-Computer Interfaces

Abstract: Objective: Brain-computer interfaces (BCIs) based on event-related potentials (ERPs) are among the most accurate and reliable BCIs. However, current mainstream classification algorithms ...