Explore how new AI technology speeds up whole-slide cancer analysis for better research and treatment strategies. Keep reading.

Tissue Microarray Construction, IHC, and Automated Image Acquisition and Analysis Formalin-fixed, paraffin-embedded blocks were retrieved from the Yale Pathology Archives, and 0.6-mm tissue ...

Discover a study exploring how a common protein may help improve the detection, prognosis, and treatment of bladder cancer.

Finally, for preclinical research, Histobiolab's xenograft and chimeric model analysis services rapidly and accurately identify the presence of cross-species cells in models, providing a critical ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could ...

MARQO builds on previous work at Mount Sinai in 2024 into an AI-driven tool specifically for the management and prognosis of ...

A multicenter study has analyzed nearly 2,000 digitized tissue slides from colon cancer patients across seven independent ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could transform how cancer tissues are analyzed and help pave the way for more ...

New York City-based Icahn School of Medicine at Mount Sinai has developed an artificial intelligence-powered image analysis tool, MARQO, to accelerate cancer tissue processing. The tool works by ...