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 ...
NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
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Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...
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Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Can AI predict your personality? New research shows machine learning can deliver DISC assessments 4x faster and with 93% accuracy. Learn how data science is identifying "hybrid" personality types and ...
In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...
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