What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Innovation in health care saves lives. But not all health innovations have enough evidence to actually benefit patients. While the U.S. federal government still classifies cannabis as having “no ...

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

Virginia’s (finally) opening its adult-use retail cannabis market in 2027, though the exact start date is still being hashed ...

Objectives In the USA, an estimated 40–50 million operations are performed annually, with high rates of adverse events. Since the 1980s, report cards have been used for outcome measures and to improve ...

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

Chronic pain was associated with a significantly increased risk for incident dementia, particularly in patients aged 60 years and older.

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

The results are transforming how scholars understand human history. By analysing parchment, researchers are uncovering ...

New psychoactive substances (NPS) are a class of artificially designed and synthesized chemical substances designed to mimic the pharmacological effects of traditional drugs. They are characterized by ...

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...