While diagnostic pathologists can review scanned slides remotely with AI assistance and instant global collaboration, much of the clinical trial pathology world still ships physical glass slides between labs, dealing with FedEx delays and proprietary file formats. “For exploratory assays, yes, it’s exploding. Everyone’s enjoying artificial intelligence and machine learning for various aspects, but there’s…
PathAI launches AI tool for analyzing fibrosis in cancer tissue samples
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…
Off with the training wheels: AI-based patient characterization can improve clinical trial performance without large data sets
Only 12% of new drug candidates that enter phase 1 clinical development ultimately receive FDA approval. This dismal success rate leaves millions of patients with unmet medical needs and drives up the costs for the small number of drugs that make it to market. More frustratingly, it leaves untold numbers of potentially transformative therapies back-burnered…