The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...

Gold price prediction: Gold prices are poised for fluctuations, heavily influenced by the US Federal Reserve's potential rate cut in December. Geopolitical tensions also provide support. Analysts ...

Data-driven, elite traders continue to vie for the casual bets of dopamine-seeking retail investors, as prediction markets ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Prediction markets are heavily signaling a 25-basis-point interest rate cut in December, with probabilities hovering above 80% on both Kalshi and Polymarket. Traders on both platforms see only a slim ...

The Federal Reserve will have to go without up-to-date government inflation and jobs data when it decides next month whether to lower interest rates for a third consecutive time. The Bureau of Labor ...

Last year, you could hardly escape data in business headlines. Generative AI's rapid development revolutionized the speed with which information can be processed, opening the door for rapid changes ...

Federal Reserve officials are sharply divided over whether to cut interest rates in December, with some citing cooling labor data and others warning inflation remains too high. The split has fueled ...

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...