Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.

Permeability is one of the most critical reservoir characteristics, and its prediction remains a fundamental challenge for both researchers and petroleum engineers. The complexity of predicting ...

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Acoustic analysis of routine patient-clinician conversations may accurately identify cognitive impairment. Read more.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes decisions in milliseconds. The field of computer vision and deep learning has ...

Researchers at Georgia Tech say they have developed a system to help answer that question. Known as FIRA, the tool analyzes ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...