Infrastructure does not need to reinvent risk management; it can accelerate by learning from other industries that are ...

Renew Risk, a specialist provider of risk analytics for renewable energy assets, has announced the release of its UK & ...

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 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 ...

Join us for a deep dive into the world of factor risk models, the essential tools for predicting portfolio volatility, optimising your investments, and understanding risk and return. This webinar will ...

This Collection invites submissions on the latest research in tsunami modelling and risk assessment, including multidisciplinary and integrative studies. We will consider original contributions ...

NEW YORK--(BUSINESS WIRE)--Ultimate Risk Solutions (“URS”) is proud to announce its important contribution into assisting Uzbekinvest Export-Import Insurance Company of Uzbekistan (“Uzbekinvest”) in ...

Researchers validated the performance of the PREDICT-HFpEF tool in the FINEARTS-HF trial (2020-2023), which assessed the efficacy and safety of finerenone in patients with HFmrEF/HFpEF. A total of ...

Cyberwrite, a provider of cyber risk modelling, has expanded its partnership with Markel Insurance to enhance underwriting, broker enablement and cyber risk modelling across Europe. Markel Europe uses ...

Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...