NEW ORLEANS, LA—A risk model based on data from the Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database (ACSD) ...
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 ...
Outbreak Labs, formerly FSID, joins Google’s GovTech FutureTech Series to showcase modelling and earth observation ...
Annual Meeting, investigators presented a late-breaking study focused on surgical aortic valve replacement (SAVR) following prior transcatheter aortic valve replacement (TAVR), a clinical scenario ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Managing risk is no longer about buying protection—it's about deciding, deliberately and transparently, how your organization ...
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 ...
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 ...
Traditional model validation assumes a model can be tested in isolation, signed off, and then left unchanged. That approach ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results