In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics disrupt established seasonal patterns remains underexplored. We analysed ...

There was some evidence that cannabinoids can reduce symptoms of cannabis use disorder, insomnia, tic or Tourette's syndrome, and autism spectrum disorder, but the quality of this evidence was ...

Background Gut bacteria have been implicated in a wide range of health conditions, yet their potential role in preventing and treating muscle-wasting disorders remains largely unexplored. Objective We ...

Background Pharmacotherapy combinations have been shown to improve survival and reduce hospitalisations in adults with ...

OpenAI CEO Sam Altman addressed concerns about AI’s environmental impact this week while speaking at an event hosted by The Indian Express. For one thing, Altman — who was in India for a major AI ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

Introduction: Collateral status and perfusion imaging both capture downstream flow in the occluded territory for patients with acute ischemic stroke. Collateral status can be obtained from CT/MR ...

In two recent polls, a majority of U.S. adults said they use social media to get health information. July 2025 by KFF, a leading health policy research nonprofit: 55% said they use social media “to ...

WASHINGTON — A federal watchdog warned lawmakers that the Department of Veterans Affairs needs to fully revise the 80-year-old criteria for awarding disability payments or risk miscalculating benefits ...

Jan 9 (Reuters) - Chinese AI startup DeepSeek is expected to launch its next-generation AI model V4, featuring strong coding capabilities, in mid-February, The Information reported on Friday citing ...

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...