Machine learning helps identify subtypes of rheumatoid arthritis
A machine learning model can predict with high accuracy lymphocyte cells, shown in the blue and green overlays in the ...
Tag: learning
Using machine learning to accelerate simulations of irregularly shaped particles
A pair of cylindrical bodies composed of 639 smaller spheres. Credit: The Grainger College of Engineering at the University of ...
Observations of zebra finch courtship shed light on later learning
McGill researchers divided zebra finches into groups to see how early life experiences affect learning. Credit: Sarah Woolley A new ...
Global machine learning competition advances wearable technology for Parkinson’s disease
% Frozen time based on time-of-day model estimation on daily life data from freezers and non-freezers. Credit: Nature Communications (2024). ...
Medical error: she undergoes intensive chemotherapy… before learning that she never had cancer
A Texas mother who endured intensive chemotherapy treatment to fight terminal cancer learned after writing her goodbye letters that she ...
Learning how cells get rid of unwanted materials is key to potential new therapies, scientists say
Graphical summary. Credit: Molecular cell (2024). DOI: 10.1016/j.molcel.2024.01.022 Are you sick and tired of being sick and tired? A UNLV-led ...
Machine learning promises to accelerate metabolism research
Credit: Pixabay/CC0 Public domain A new study shows that it is possible to use machine learning and statistics to solve ...
Widespread machine learning methods behind ‘link prediction’ perform very poorly, researchers say
Credit: CC0 Public domain When you browse a social media feed, you will likely be asked to follow or become ...
Physicists detect elusive ‘Bragg glass’ phase using machine learning tool
CDW to PdXErTe3. ACrystal structure of pure ErTe3. The Te planes have approximately square geometry. The crystal belongs to VSmvsm ...
Deep learning for real-time molecular imaging
(a) FCSNet is a convolutional neural network (CNN), which takes into account the autocorrelation function of a measurement as input ...
