Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...

Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, and enforcement ...

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

As crypto assets grow in value and relevance, security moves beyond convenience to deliberate control. One of the most reliable ways to protect digital assets is through a multi-signature (multi-sig) ...

Abstract: Fluid antenna systems offer significant potential to enhance spatial diversity, which can substantially improve the quality of received signals. However, achieving such signal quality ...

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...