The Posture Visibility Problem - CrowdStrike Cloud Security Posture Management (CSPM) provides critical visibility ...

AI technologies enable financial institutions to enhance financial crime detection, optimize resources and ensure compliance.

The Automotive Industry Action Group (AIAG) recently published Version 2.0 of its new Due Diligence Reporting Template (DDRT). The DDRT ...

Funded student: please check the next enrolment deadline and course start date. HADM 488: Risk Management and Safety in Health Services is an undergraduate course designed to introduce students to ...

The risk of bias and strength ... the available evidence on the management of patellar tendinopathy both with direct comparisons between interventions and by producing treatment ranks with a network ...

Method Search result screening and risk of bias assessment. A best evidence synthesis for each factor and meta-analysis, where possible, to determine the association with risk of HSI. Results The 78 ...

In this meta-analysis of nearly 50 000 participants from clinical outcome trials of sodium glucose cotransporter 2 inhibitors in people with type 2 diabetes at high cardiovascular risk or with CKD, ...

Understanding how geopolitical shifts ripple through global finance is essential for sound risk management, and as we move forward, we will need regulators and industry leaders to work together to ...

This scientific statement (1) synthesizes the current science and best practices for the comprehensive management of cardiovascular risk factors in adults with T2D and (2) provides additional context ...

Abstract: An integrated method comprising DEA and machine learning for risk management is proposed in this paper. Initially, in the process of risk assessment, the DEA cross-efficiency method is used ...

A NextJS application was created as a prototype to implement the RM3 framework (a risk management framework for IT projects) as part of the Ph.D. studies of Paulo Andrade @ University of Regina.

A SAS-driven analysis using logistic regression and statistical modeling to predict loan default risks, providing lenders with actionable insights for risk mitigation and portfolio management. Built a ...