Frailty Models in Bivariate Survival Analysis Publication Trend The graph below shows the total number of publications each year in Frailty Models in Bivariate Survival Analysis.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Generalized Order Statistics and Bivariate Distributions Publication Trend The graph below shows the total number of publications each year in Generalized Order Statistics and Bivariate Distributions.

Apple improved the Math Notes feature in iOS 26 and iPadOS 26, allowing users to input equations to create graphs in three dimensions. Math Notes ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Pedestrian trajectory prediction is critical for autonomous driving, crowd analysis, and urban surveillance. To address insufficient interaction modeling in existing methods, we propose two ...

NICE may be 20 this year, but its policy on end-of-life (EoL) treatments – where NICE can recommend a treatment at around £50,000 per Quality Adjusted Life Year (QALY) – is a young policy in ...

Reprint: R1103B Companies spend more than $2 trillion on acquisitions every year, yet the M&A failure rate is between 70% and 90%. Executives can dramatically increase their odds of success, the ...

Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...