A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.
Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Tech Xplore on MSN
Novel AI method sharpens 3D X-ray vision
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Justin Pot Our upgrade pick, Babbel, has discontinued its premium Live service ...
An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results