This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Case Western Reserve University biomedical researchers develop first open-source, quality-control review tool for fast-growing digital pathology field There’s a low-tech problem troubling the ...

Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer. It accounts for about 25 percent of all breast cancer diagnoses.

A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...

Traditional histopathology, crucial for disease diagnosis, relies on chemically staining tissue samples to highlight cellular structures for microscopic examination by pathologists. This ...

New AI-driven tool converts common histology images into detailed, multi-layered cancer markers, promising faster, more accurate diagnostics and improved patient outcomes. Study: Accelerating ...

As crazy as it sounds, a future in which humans are the ones doing the computing may be closer than we think. In an article published in IEEE Access ("Information processing via human soft tissue: ...

Tissue engineering utilizes 3D printing and bioink to grow human cells on scaffolds, creating replacements for damaged tissues like skin, cartilage, and even organs. A team of researchers led by ...