Study validates a new risk model that allows for more accurate risk estimates, encourages shared decision-making, and helps ...

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 ...

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 ...

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 ...

As financial institutions increasingly integrate AI, they encounter the challenge of unlocking its potential while ensuring compliance with regulatory requirements and ethical standards. In this post, ...

Boards and C-suites are adopting new governance practices to address energy constraints and operating and cyber risks to ...

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

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 ...

Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...

A new study published by TELUS Digital, The Robustness Paradox: Why Better Actors Make Riskier Agents, finds that the use of ...

Last year, I faced a harrowing experience that would change my perspective on healthcare forever. What began as an emergency surgery to combat a flesh-eating bacteria quickly turned into a nightmare.