Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

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 ...

The telecom regulator wants legal authority under the IT Act to act against call management apps that allegedly misclassify ...

Utilizing SERS for protein detection offers high sensitivity and label-free analysis, advancing proteomics and biomarker ...

From detecting pancreatic cancer three years early to recognising 18 tumour types from a handful of tissue slides, AI is transforming medicine. Here is a comprehensive guide to the breakthroughs, the ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Microsoft CEO Satya Nadella just articulated something most enterprises miss about their own ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...