In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, in ways that have led to financial savings and improved patient outcomes.

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial ...

Studying how cells work inside a living body is one of the most powerful ways to understand health and disease. However, looking deep inside live tissue is extremely challenging, especially when ...

Every child can develop Leonardo's genius-level thinking through cross-domain connections. Parents can teach these strategies ...

In this study, researcher developed a new imaging approach that combines two powerful techniques to solve this problem. First ...

Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

Amid the evolving trading models and market platforms, the fundamental construct of financial markets—to conclude transactions between anonymous or known counterparties—has largely remained unchanged ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

A new study published in Cell on July 10 has reported the world's fastest high-resolution three-dimensional (3D) imaging technology for the entire body of small animals at subcellular resolution, ...