Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Heart failure (HF) is a chronic and progressive cardiovascular condition associated with significant morbidity, mortality and ...

Nigeria did not just digitise identity, but digitised exclusion quietly, efficiently, and at scale. More gently put: when identity systems outpace civic capacity, technology stops empowering and ...

OpenAI's GPT-5.2 has derived a new formula explaining gluon scattering processes that physicist Nima Arkani-Hamed ...

Noninvasive imaging tests may help identify at-risk metabolic dysfunction-associated steatohepatitis, with a FibroScan-based ...

Despite advanced condition monitoring, many asset failures show no early data signals, making routine visual inspections ...

Mosaic theory is an analysis method used in finance to gather diverse information about companies. Discover its components and how it can guide investment decisions.

The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. Burnaby resident ...