Aiforia mentioned in Forbes as a promising digital solution serving medical research

Forbes | Georgia, USA - Forbes wrote about a couple of new promising, practical data analysis tools for cancer research presented at the annual American Association of Cancer Research (AACR) meeting, including Aiforia Technologies Oy. Aiforia presented their research project together with Peter Westcott at MIT on analyzing and quantifying lung tumors in mice.

Excerpt from the article states "”I was especially struck by promising, emerging examples of data and digital coming into play not as an exotic, “dancing bear” approach, but as another potential tool in the toolbox, a methodology deployed deliberately to serve a defined research need. For example, Peter Westcott, a postdoc in the Tyler Jacks lab at MIT, described a collaboration with the Finnish digital pathology company Aiforia, that grew out of an urgent need in the lab to assess murine lung tumor pathology at a scale and consistency beyond that achievable by an individual technician. The lab uses a particular genetically-engineered mouse that is predisposed to develop lung cancer, and consequently, experiments can generate a large number of lung histopathology samples. By training an algorithm to read the stained slides and identify the regions of normal tissue and of cancer, the lab has been able to advance their work. According to Westcott, the use of this approach has now become “best practice” in their lab for these studies.”

Find the original article here: https://www.forbes.com/sites/davidshaywitz/2019/04/04/cancer-research-meeting-offers-cambrian-explosion-of-biology-opportunity-for-data-science/#a0cabee6a8b1

Related links: https://www.linkedin.com/pulse/utilizing-neural-networks-automatic-histopathologic-westerling-bui/