Morning Overview on MSN
Physicists warn of looming global threat by 2026
A group of physicists has raised alarms about a potential global catastrophe predicted for 2026, emphasizing the need for immediate global awareness and action. This warning, based on recent data ...
Introduction Noma is a rapidly progressing, disfiguring orofacial necrotising infection that primarily affects children ...
Researchers from FishEye Collaborative, a conservation-technology nonprofit, Cornell University, and Aalto University have developed a new tool that combines underwater sound recording and 360° video ...
The ISG Buyers Guides™ for Subscription Management are the distillation of more than a year of market and product research efforts. The research is not sponsored nor influenced by software providers ...
Leaders across higher education and industry must ensure that their teams and partners think critically about anonymization, ...
The RGB model, which combines red (analytical performance), green (environmental impact), and blue (practicality), is at the heart of the concept of white analytical chemistry (WAC). While this ...
Child health monitoring remains a major challenge, as many pediatric conditions—such as neurodevelopmental disorders, sleep ...
Introduction The COVID-19 pandemic led to major disruptions in society across many spheres, including healthcare, the economy and social behaviours. While early predictions warned of an increased risk ...
The global nonprofit WITNESS seeks to address one of the biggest data gaps in the digital verification landscape: the ...
Solid-waste pollution is reshaping the social and economic landscape of urban shorelines, yet its livelihood costs remain ...
Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback