The global banking sector is navigating unprecedented challenges volatile markets, evolving regulatory demands, and increasing customer expectations for speed and accuracy. Traditional risk assessment ...
A Clinical-Genetic Risk Score for Predicting Cancer-Associated Venous Thromboembolism: A Development and Validation Study Involving Two Independent Prospective Cohorts Using retrospective data from ...
An artificial intelligence–based model that incorporates polygenic and multi-image risk scores with key demographic variables effectively identifies individuals at a high risk for type 2 diabetes (T2D ...
Quantitative Risk Assessment in AML refers to a data-based approach that uses numerical scoring models to measure and score an entity’s exposure to Money laundering, Terrorist Financing, and ...
Collaborative research, led from the University of Oxford and published today in Nature Medicine, has developed a new tool called QR4 that more accurately predicts an individual's 10-year risk of ...
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How to do a cybersecurity risk assessment
Businesses must convince customers their personal data is safe. Run a cybersecurity risk assessment to protect company and customer data.
Moody’s Wildfire Risk Model Successfully Completes California Department of Insurance Review Process
NEW YORK--(BUSINESS WIRE)--Moody’s Corporation (NYSE:MCO) announced today that the Moody’s RMS U.S. Wildfire Model v2.0 has successfully completed the review process established by the California ...
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