We, pathologists, make pathological diagnoses by observing tissues and cells collected from living organisms in detail with the naked eye or with a microscope. Accurate pathological diagnosis is the starting point of correct treatment, and the final diagnosis, pathological diagnosis, always requires 100% accuracy. However, it is often difficult to make a judgment based on the morphology alone, and how to efficiently obtain information on plus α other than the morphology is an important issue.​
  We will utilize the knowledge and skills of each researcher of Engineering to establish a morphological diagnosis assistance method that combines AI and machine learning to improve the quality of cancer diagnosis, and Raman scattered light analysis. We are working on the development of a rapid diagnostic method for atypical cells using Raman and mass spectrometry. We are also working to elucidate the pathogenic mechanism of steatohepatitis and liver fibrosis by applying Raman scattered light microscopes and SHG microscopes to the analysis of pathological tissues.​