Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
TNO showed in a 12-week study that 24-hour i-screen microbiome changes predicted 8- and 12-week responses, enabling confident ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...
LCGC International salutes Jack Henion and Bob W.J. Pirok, winners of the 19th annual LCGC Lifetime Achievement and Emerging ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
More than $61 billion has flowed into the data center market so far this year. Hyperscalers are increasingly turning to outside capital in the form of debt to fund the energy-intensive infrastructure.
A barrage of post-shutdown data this week has left economists with more questions than answers about the state of the U.S. economy. Unemployment rose to a four-year high in November, inflation ...
A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...
This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...
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