Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...
A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.
While optical computing systems (OCS) with high bandwidth, low latency, and inherent parallelism are promising accelerators for artificial ...
CDVAE, a symmetry-aware generative AI framework that embeds space-group information into the generation of crystal structures ...
A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results