They are familiar with medical needs, abundant medical data and medical concepts but have limited AI knowledge and network with AI companies, which often prevent them from starting concrete development.
They are interested in entering the medical field, but have little network with doctors and medical institutions, and have insufficient understanding of medical needs and regulations such as Pharmaceutical and Medical Device Act. So full-scale development at the medical field is often difficult.
Although there is high interest in using AI, it is often difficult to handle everything from R & D to business development.
We are developing AI-based medical solutions by leveraging the perspective of focusing on understanding medical needs and development in the medical field, by networking with many physicians and clinical departments, and by utilizing the experience and know-how accumulated in investigator-initiated clinical trials. We are well-versed in the medical field and can collaborate with physicians and medical institutions that have a wealth of medical data. We can also develop medical solutions (diagnosis / treatment) that will be used in clinical practice as we can conduct clinical trials (investigator-initiated clinical trials) in accordance with the Pharmaceutical and Medical Device Act.
Currently, we are working on research and development of AI applications for medical fields such as lung disease (function test), kidney disease (dialysis medicine), diabetes, cancer (imaging diagnosis), and mental illness. Examples are shown below:
Spirometry is a useful respiratory function test in diagnosing lung diseases, however interpreting the results can be difficult for non-specialists. We would like to provide solutions to assist non-specialists to interpret the results by making AI to learn patterns of correct answers from many test failures and many disease cases. In addition to the numerical results of the spirometer, we would also like to assist non-specialist’s interpretations by realizing the automatic analysis of the flow volume curve patterns.
In dialysis treatment in patients with chronic renal failure, various complications such as a rapid decrease in blood pressure, poor mood, vomiting, and muscle spasm become problems. We would like to use AI technology to provide a safe dialysis management method that can prevent patients from those uncomfortable symptoms.