Real-world evidence (RWE) has become a crucial driver of the pharmaceutical and biotechnology industries in recent years. In fact, RWE is now included in 70 percent of new drug and biologic regulatory ...

Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...

Investor10 is a fintech company which leverages real-time market insights, advanced analytics, and independent investment ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

NVIDIA is powering AI-driven robots for factories and hospitals, ushering in a new era of safe and advanced automation.

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...

Australia’s quantum push is accelerating, with real systems, bold timelines, and breakthroughs like quantum twins signaling a ...

Discover eight practical strategies for digital healthcare transformation that improve patient outcomes, streamline provider ...

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...