Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...
A new study shows that stars with low magnetic activity are likely to support exoplanetary systems, making the hunt for these ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Dr. Melanie Campbell and graduate student Lyndsy Acheson study an image of a retina. They are looking for protein deposits found in association with brain diseases, such as Alzheimer's, FTLD-TDP and ...
Fake videos and images depicting fake attacks and fake troops have racked up tens of millions of views on social media ...
Recent research from across the world has found that stigma towards people with mental health diagnoses is either increasing ...
A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases such as ALS and Alzheimer's disease, and with ...
AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing Alzheimer’s from ALS and related disorders with high accuracy, enabling earlier ...
What Is Safety Data Overload in Pharmacovigilance?Safety data overload in pharmacovigilance refers to the situation where drug‑safety teams are inundated with an ever‑increasing volume of individual ...
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
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