PathologyMap™ contains growing amounts of annotated preclinical histopathology data crowdsourced from the biomedical research community, from human to experimental models like zebrafish, patient-derived xenografts and organoids (see brochure). Unlike Oncomine for genomics and the Human Protein Atlas for proteomics, PathologyMap™ enables histology-driven data mining for the first time. Our platform is a scientific hybrid incorporating the viewing power of Google Maps with the collaborative and crowdsourcing components of GitHub.
We are building a scientific community to encourage collaboration between scientists, pathologists and patients. PathologyMap™ allows researchers everywhere to access the massive amount of unpublished histopathology data and unstained slides from contributing labs, reducing repetitive research and enabling breakthroughs from aggregate data. We’ve created a highly curated, searchable and annotable database that allows researchers to pinpoint exactly what they’re looking for—as well as see what others have to say about it.
Our database not only allows users to look at different types of cancers comprehensively at a large scale, but also allows for viewing of biomarker localization and tumor-stroma microenvironment at micrometer detail. Thus HistoWiz enables not only cancer researchers and clinicians, but medical students, programmers, and anyone interested in learning more about a certain type of cancer to step inside the field and access the latest discoveries from the cancer research community. This expands the cancer research team thousands of fold and increases the probability of finding a cure.