Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...
4don MSN
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 ...
A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...
Australia’s quantum push is accelerating, with real systems, bold timelines, and breakthroughs like quantum twins signaling a ...
As companies restructure around AI, the real divide may not be timing - but how leaders manage fear, learning, and change.
Further spurred by another negative polygraph experience, the resulting deep dive on polygraphs and examination methods ...
The single best way to use AI for content is to stop expecting it to produce something publishable and start treating it as a ...
One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods.
There are various methods for securely handling health data – some are still too computationally intensive, others still too ...
The robots are ready to work. Rapid advancements (thanks, AI!) are creating opportunities in industries as varied as ...
At Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences, Yongtao Liu is building AI-driven “closed-loop” ...
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