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 ...

Mrinank Sharma's work included studying AI sycophancy and its causes, developing safeguards to reduce risks from AI-assisted ...

GCC economies are rapidly embracing digital transformation, creating a surge in demand for tech-savvy professionals. Skills ...

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 ...

Moz Pro is a robust SEO platform with scalable plans for businesses of all sizes, offering crawling, keyword research, ...

Turkish football fans aren’t just watching matches—they’re breaking down the numbers behind every pass, shot, and lineup change. In stadiums, living rooms, and online forums, supporters now use ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

We speak to Vincenzo Vinzi, Dean & President, ESSEC Business School about AI and its role in modern business leadership.

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 ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

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 ...

Abstract: Atmospheric ducts, formed by sharp refractive index gradients in the lower atmosphere, play a crucial role in signal propagation, particularly for next-generation communication systems ...