Medmain Speaks

Introduction to Pathology vol.2

Specimen Preparation

Hello! I’m Naoko from recruitment / public relations team at Medmain. In this blog “Medmain Speaks”, you will find interviews with members at Medmain, as well as a series of articles on pathology. I would be happy if this post would be an opportunity for more of you to deepen understanding of the importance of “pathology,” which plays an important role in the area of medicine. Today, I would like

Introduction to Pathology vol.1

Learn about the types of "pathological diagnosis”

Hello! This is Naoko from in recruitment / public relations team at Medmain. In this blog “Medmain Speaks”, you can find interviews with our members, company news and so on but we also would like to write a series of articles about pathology, as it is the most related area of our service. The terms such as “Pathology” “Pathologist” may not be well known generally. Today, I would like to introduce you some types of “pathology”.

Deep Learning Models to Classify Epithelial Tumours of Stomach and Colon for Supporting Routine Histopathological Diagnosis

Integrating artificial intelligence (AI) within the computational pathology workflow would be of high benefit for easing the ever increasing workloads on pathologists, especially in regions that have shortages in access to pathological diagnosis services

How it started? According to global cancer statistics, stomach and colon cancers are amongst the most common leading causes of cancer deaths in the world, with stomach cancer ranking fourth in men and seventh in women, and colon cancer ranking third in men and second in women. Histopathological classification of gastric and colonic epithelial tumours is one of the routine pathological diagnosis tasks for pathologists. Computational pathology techniques based on Artificial intelligence (AI) would be of high benefit in easing the ever increasing workloads on pathologists, especially in regions that have shortages in access to pathological diagnosis services.

Our paper was published in “Scientific Reports” by Nature Research

We are delighted to share that our manuscript entitled “Deep learning models for histopathological classification of gastric and colonic epithelial tumours” by Koji Arihiro M.D., Ph.D. and Kei Kato from Hiroshima University along with Medmain members Osamu Iizuka, Fahdi Kanavati, Michael Rambeau, Masayuki Tsuneki, was published in authoritative Scientific Reports, a journal of the Nature Research on Jan 30th.