When it comes to ensuring the safety of medical and pharmaceutical products, chemical characterization plays a key role, particularly through the analysis of extractables and leachables (E&L). A ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic. What allows an ongoing condition to stay dormant for months or even years, ...

Research from MIT Sloan School of Management has demonstrated a new way of designing social science experiments that can ...

Wetlands stand as immensely important carbon sinks within the global ecosystem, instrumental in absorbing greenhouse gases ...

The digital transformation of the banking sector has been a worldwide success story, driving enhanced customer service, ...

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 ...

Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...

Quebec's winters are notoriously long, cold and energy intensive. And even though Hydro-Québec provides abundant, relatively ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...

In 2026, artificial intelligence (AI) has transformed the world of finance, with AI trading bots now helping thousands of ...