New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
News Medical on MSN
AI-powered tool automatically segments human brainstem white matter bundles
Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies to dissect. New software reliably and finely resolves eight distinct nerve ...
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
A new AI method helps identify dinosaur footprints by analyzing key traits, enhancing accuracy in paleontological studies.
Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
Big Easy SEO has completed 22 years of operations in the digital marketing industry, marking more than two decades of service delivery since the company’s founding. The milestone represents sustained ...
Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
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