R. Niikura Lab
Our laboratory investigates the clinical and translational mechanisms of gastrointestinal diseases, with a particular focus on gastrointestinal bleeding, carcinogenesis, and the role of the gut microbiome.
The lab has conducted large-scale clinical and epidemiological studies to identify risk factors, develop predictive models, and evaluate therapeutic strategies in gastrointestinal disorders, including cohort studies, randomized controlled trials, and database-based analyses.
We also explore the role of microbiota in gastrointestinal carcinogenesis, particularly in the context of Helicobacter pylori eradication and non–H. pylori microbial communities.
In addition, the lab integrates advanced data science approaches, including machine learning and artificial intelligence, to improve endoscopic diagnosis and risk prediction. Through these approaches, we aim to bridge clinical practice and mechanistic understanding in gastrointestinal medicine.
Areas of Interest
- Gastrointestinal bleeding and its risk stratification
- Gastrointestinal carcinogenesis and chemoprevention
- Gut microbiome and post–Helicobacter pylori carcinogenesis
- Clinical epidemiology and large-scale database research
- Artificial intelligence in endoscopy and image-based diagnosis
- Predictive modeling and outcome research in gastrointestinal diseases
R. Niikura
Dr. Ryota Niikura is a gastroenterologist and clinical researcher specializing in gastrointestinal diseases, including gastrointestinal bleeding, carcinogenesis, and the gut microbiome. His research has focused on large-scale clinical and epidemiological studies to identify risk factors, develop predictive models, and evaluate therapeutic strategies in gastrointestinal disorders. His work has also explored microbiome-associated carcinogenesis, particularly in the context of Helicobacter pylori eradication and post-eradication gastric cancer.
His research has been supported by competitive research funding, and he has contributed to advancing clinical and translational research through the integration of data science approaches, including artificial intelligence in endoscopy and diagnostic modeling.
Dr. Niikura is a Professor in the Department of Food and Nutrition at Jumonji University and a registered clinical research physician in the Department of Gastroenterology at The University of Tokyo Hospital.
Contact
Department of Food and Nutrition, Jumonji University
2-1-28 Sugasawa, Niiza, Saitama, Japan
E-mail: rniikura@jumonji-u.ac.jp