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This AI mines the numbers buried in scientific papers and turns them into usable data fast
Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.
Morgan Vogel, Ph.D., assistant director at UNO CPAR, has been selected as a Strategic Data Project Fellow, leading a capstone ...
Half of social-science studies fail replication test in years-long project”: that’s the headline from reports on the latest ...
The American Academy of Neurology issued guidance on using wearable data devices, like smartwatches or an Oura Ring, to track ...
Financial secrecy is entering EU anti-money laundering rules. But tackling risk requires going beyond compliance to address ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Nothing rivals the human brain's complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion ...
In this conference report from ABRF 2026, the authors reflect on the meeting's insights into core facility research and ...
This Clinical Chemistry and Laboratory Medicine review examines a central challenge in precision medicine: whether medical ...
March was not a failure of gold’s role, but a reminder of how markets function under stress. Liquidity, not fundamentals, ...
Between 2024 and 2025, rural America gained 75,000 residents, slowing slightly from last year’s gain of 134,000. Net ...
U.S. stocks have rebounded to record highs after the Iran war-driven selloff and there are signs under the market's surface ...
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