The digital pathology firm PathAI has released PathExplore Fibrosis, an AI-based tool that analyzes fibrosis and collagen structures from H&E-stained whole-slide tissue images. The software quantifies fibrotic areas and collagen fibers from standard pathology slides, replacing specialized staining techniques and microscopy equipment. The tool processes large datasets of tissue images, designed to work with existing…
How spatial AI is uncovering the hidden truths of breast cancer
Breast cancer is the most common cancer for women in the nation, with over 300,000 new cases expected to be diagnosed this year. While the narrative for breast cancer early detection centers around mammograms, the gold standard for diagnosis, clinicians have tapped into enhancing radiology and X-ray imaging using artificial intelligence (AI). This AI-enhanced approach…
Scientists develop new machine-learning model to predict immunogenic neoantigens
Researchers at Cleveland Clinic’s Global Center for Immunotherapy, in collaboration with Bristol Myers Squibb, have published a comprehensive study on how the immune system remodels the tumor microenvironment in response to immune checkpoint therapy. This research represents the most detailed analysis of this process to date. Under the leadership of Timothy Chan, MD, PhD, Chair…
How Nucleai’s spatial biology tech aims to accelerate drug development
Nucleai, founded in 2018 and based in Chicago and Tel Aviv, is pioneering new ground in spatial biology. Its AI-powered technology provides crucial context for tumor analysis, moving beyond traditional, static biopsy images to highlight cellular interactions that influence disease progression and treatment response. Innovation, in many cases, happens at the overlap of different domains,…