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 ...

Pancreatic cancer is a rare kind of cancer that is detected during the final stages. This is because the symptoms are very common and also do not show up in the starting phase. Hence an automated ...

We introduce MNISQ, the first large-scale dataset for both quantum and classical machine learning during the NISQ era, containing 4.95 million circuits of 10 qubits constructed with up to 100 ...

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 ...

Researchers launch Hetairos, an AI that predicts brain tumor molecular subtypes in 12 minutes from routine tissue slides, ...

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...