Proposing new approaches to medical issues
using data and moving forward together

Proposing new approaches
to medical issues using data
and moving forward together

Today's society, with mechanization and online systems, generates data unconsciously. Utilizing the data is an essential contribution to the future. We will connect data to the medical, experience discoveries with customers, and move forward to a next stage.
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Predicting low muscle mass in dialysis patients

Sarcopenia, characterized by loss of skeletal muscle mass and function, is a severe problem in hemodialysis patients. However, easy screening at the bedside for such patients is challenging. This bedside prediction model can show the existence of low muscle mass.
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研究者紹介
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Lecturer (Data Science and AI Innovation Research Promotion Center, Shiga University)
Ikenoue Tatsuyoshi
Ikenoue Tatsuyoshi
Lecturer at Data Science and AI Innovation Research Promotion Center, Shiga University (2021 - present)
Lecturer and Assistant Professor at Graduate school of Medicine, Kyoto University (2015 - 2021)
I have field experience as an active internal medicine physician. I specialize in general clinical research and data science, effectively using existing data. In addition, I was in charge of a course for physicians that trains people to proceed in clinical research at Kyoto University. I have visualized ambiguous questions in the clinical field as clinical research with many physicians and co-medical staff.
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