Learning to read a survey means understanding margins of error, sampling, weighting, and media framing, with an essential ...

Introduction By 2050, two-thirds of people with dementia will live in low-and-middle-income countries (LMICs). However, multimodal prevention lifestyle interventions for people at risk are being ...

A survey has shown that most Ukrainians – 48% and 59% respectively – prioritise the country's territorial integrity and sovereignty over welfare.

Importance Structured communication tools and decision aids are recommended to facilitate goals of care discussions (GOCDs) in hospitalised patients, but their impact remains unclear. Objective To ...

Artificial intelligence (AI) can offer individualized dietary guidance based on multimodal data collected from various sources, including wearable sensors, high-dimensional multiomics and biomarker ...

Two quantum chips linked through a 30-meter cooled tube enabled scientists to create certified perfectly random numbers.ETH Zurich Researchers at ETH Zurich have developed a method to generate what ...

Creating perfect randomness is surprisingly difficult. Even modern random number generators never generate completely ideal random numbers: small systematic errors can result in some numbers appearing ...

CLEAR provides systematic error analysis for LLM-based systems. It combines automated LLM-as-a-judge evaluation with interactive dashboards to help you: Identify ...

Dan Raby, the senior digital producer for CBS News Atlanta, has been covering everything happening around Georgia for more than a decade. After months of campaigning, the 2026 primary elections in ...

Sullivan & Cromwell apologized for submitting a court document that had fake citations created by artificial intelligence. By Santul Nerkar An elite Wall Street law firm has apologized to a federal ...

Introduction Parkinson’s disease is a neurological disease with a rising incidence and prevalence. Patients with Parkinson’s disease may receive antipsychotics, for example, due to Parkinson’s disease ...

Abstract: Accurate segmentation of brain tumors in MRI images is imperative for precise clinical diagnosis and treatment. However, existing medical image segmentation methods exhibit errors, which can ...