Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace dummy variables for deeper, more accurate risk insight. PCA shrinkage ...

Discover what actuarial risk is, how it's calculated, and its impact on insurance premiums. Learn about prediction models and ...

Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

The global reinsurance broker Guy Carpenter, a partner to @Nasdaq and user of the Nasdaq Risk Modelling for Catastrophes service, continuously develops new catastrophe risk models. Mark Weatherhead, ...

At the San Antonio Breast Cancer Symposium, researchers presented findings on Clarity BCR, a multimodal multitask ...

The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...

Lunit has announced the submission of a 510(k) premarket notification seeking clearance from the US FDA for its breast cancer ...

This article was written by Antonios Lazanas, Head of Portfolio and Index Research at Bloomberg. Modern risk modelling is not just about monitoring risk. Sure, the specialists who manage risk are ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

OpenAI has drawn a rare bright line around its own technology, warning that the next wave of its artificial intelligence ...