No editor I worked for would publish the rubbish they now produce

The Street Library Using YOUR books – to raise funds for YOUR favourite charity. The Street Library enables people, and companies, to use their very own books (new or already-read) to raise funds for ...

Experts say the report being used to justify the mass rollback of climate regulations has many claims based on long-debunked research

Historical phases of ocean oxygen minimum are associated with near extinctions of mesopelagic fish, suggesting risks of future deoxygenation to marine fisheries due to warming, according to an analysi...

Identifying individuals at high risk of type 1 diabetes (T1D) is crucial as disease-delaying medications are available. Here we report a microRNA (miRNA)-based dynamic (responsive to the environment) risk score developed using multicenter, multiethnic and multicountry (‘multicontext’) cohorts for T1D risk stratification. Discovery (wet and dry lab) analysis identified 50 miRNAs associated with functional β cell loss, which is a hallmark of T1D. These miRNAs measured across n = 2,204 individuals from four contexts (4C: Australia, Denmark, Hong Kong SAR People’s Republic of China, India) led to a four-context, miRNA-based dynamic risk score (DRS) that effectively stratified individuals with and without T1D. Generative artificial intelligence was used to create an enhanced four-context, miRNA-based DRS, which offered good predictive power (area under the curve = 0.84) for T1D stratification in a separate multicontext validation dataset (n = 662), and accurately predicted future exogenous

The government weather forecaster has been hit with huge cuts by the president’s administration.

“The Department of Homeland Security has authorities that have never been utilized before,” Secretary Kristi Noem told the group.

The last 50 years have been a sickening catastrophe for the working class and have created another class of people who really do think they’re better than everyone else. There is an obvious cure for t...