To address the limitations of binary pCR classification, Pusztai and colleagues developed the residual cancer burden (RCB) ...

Advances in artificial intelligence promise to help chemical engineers discover complex new materials. These materials could ...

Massive blooms of Sargassum seaweed that have inundated coastlines across the Atlantic since 2011 likely originate off the ...

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores the urgent need to scale up newborn and early childhood screening, ...

(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

Read how Microsoft is partnering with Anthropic and broader industry to use leading models, paired with our platforms and ...

Discover how combining feedback and reflection helps students improve skills, challenge assumptions, and become more adaptive ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Introduction Mindfulness-based interventions are widely used, yet concerns about potential negative effects—particularly those related to mindfulness meditation practice—have gained increasing ...