And meta-regression further revealed an evaluation in predictive accuracy in prospective study designs (regression coefficient=2.289, P=0.001). Conclusions: Unlike previous narrative reviews, this ...

You know that cliché in movies when the camera zooms in on a character who says, “It’s coming,” before someone else dramatically replies, “It’s already here”? Prediction markets are a bit like that in ...

Acquisition strengthens QIAGEN’s presence in the rapidly growing single-cell market, accelerating growth across its industry-leading Sample technologies portfolio Parse provides Evercode, a highly ...

Machine learning-based algorithms have gradually been applied to trajectory prediction. Machine learning mines hidden information from large amounts of trajectory data, constructs neural networks, and ...

A powerful, production-ready TypeScript library for parsing musical beats and rhythmic patterns from audio data. Built for both browser and Node.js environments with Web Worker support for heavy ...

Abstract: Detection, parsing, and future predictions on sequence data (e.g., videos) require the algorithms to capture non-Markovian and compositional properties of high-level semantics. Context-free ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical decision-making through the identification and ...

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...