Deep learning techniques have revolutionised the monitoring of natural and built environments by automating the interpretation of complex data streams. Convolutional neural networks enable the ...

Self-supervised learning (SSL) of image patches from individual channels in multiplexed cancer tissue images yields cell representations for accurate, label-efficient classification and integration ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

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, ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

The landscape of prostate cancer care has rapidly evolved. We have transitioned from the use of conventional imaging, radical surgeries, and single-agent androgen deprivation therapy to an era of ...

Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...