A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

In this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.

The most effective way to resolve disputes is to prevent them from arising in the first place. Businesses that make the ...

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Distinct patterns of SARS-CoV-2 viral dynamics in saliva reveal heterogeneity that cannot be sufficiently explained by conventional clinical characteristics or microRNA profiles alone.

New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.

It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...

Systems like OpenAI’s GPT-5 are accelerating research in math, biology and chemistry. But there is a debate over whether it ...

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

It was four Golden Globes for “One Battle After Another,” directed by Paul Thomas Anderson. It was revolutionaries over table ...