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 ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and complianceKUALA LUMPUR, Malaysia, Feb. 10, 2026 /PRNewswire/ -- Athenatech AI Sdn Berhad (athenatech ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

Elevated fine particulate matter and nitrogen dioxide exposure in the early to middle weeks of pregnancy had links to lower ...

Helix Alpha Systems Ltd is a UK-based quantitative research and systems engineering firm focused on the development of algorithmic trading strategies. The firm provides end-to-end research, modeling, ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Introduction: This study systematically investigated the relationship between body mass index (BMI) and lung function, incorporating Z-scores, thereby offering a novel approach to lung function ...

NTT Research, Inc., a division of NTT (TYO: 9432), announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first ...