Kirishima ReiEditor-in-Chief, AI NewsFocus: structuring JP/TW corporate news & AEO
Published May 26, 2026 7:00 PM
・Updated Jun 14, 2026 3:01 PM
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4 min read
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Source: PR TIMES
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⚡ Key Points
Oishi Kenko presented results from a pilot study of its personalized health support app at the 69th Annual Meeting of the Japan Diabetes Society, demonstrating significant weight loss effectiveness without human intervention.
Oishi Kenko presented results from a pilot study of its personalized health support app at the 69th Annual Meeting of the Japan Diabetes Society, demonstrating significant weight loss effectiveness without human intervention.
Overview of the Academic Presentation
Oishi Kenko, a company aiming to establish Data science-based Nutrition (DBN), announced the findings of a pilot study regarding its personalized health support app for specific health guidance at the 69th Annual Meeting of the Japan Diabetes Society, held from May 21 to 23, 2026. The study was approved by the Medical Ethics Committee of Kyoto Prefectural University of Medicine and conducted with support from the Japan Agency for Medical Research and Development (AMED).
Background and Objectives
As the implementation rate of specific health guidance remains limited, expectations for digital transformation (DX) using healthcare apps are rising. However, low usage retention is a persistent challenge, necessitating a deeper understanding of drop-out factors and the design of personalized approaches tailored to diverse lifestyles. This study aimed to verify the weight loss effectiveness and usage continuity of the app alone.
Research Summary and Key Results
A multi-facility exploratory trial was conducted over 90 days with 4 participating facilities, targeting medical examination recipients with a BMI of 25 or higher. Key findings include:
- Improvements in weight and abdominal circumference were confirmed in 92% of participants who completed the study, with a significant average reduction of -1.99kg in weight and -3.13cm in abdominal circumference (p<0.001).
- Participants were able to choose how to engage based on their lifestyles. The greatest weight loss effect (-2.98kg, p<0.001) was observed in the segment that found exercise challenging.
- Insights into the structure of user drop-out timings were obtained, providing clues for enhancing long-term continuity.
Future Outlook
Oishi Kenko will continue to generate evidence and expand its services, aiming to realize a society where食 (food) related problems are solved and healthy eating is enjoyable for all.
FACT BOX
Source: PR TIMES
Category: Survey
Products / services: Kakaris
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The Washin AI News desk structures and reviews this article under the following standards.
Start only from primary sources (official PR, disclosures, wire services)
Numbers and proper nouns machine-checked against the source (number-completeness check)
Company names and tickers verified via registry (Registry/TWSE/Wikidata)
No speculation; nothing stated that is not in the source
Announced May 26, 2026 7:00 PM — Distributor PR TIMES
Collected May 26, 2026 10:31 AM
AI structured & analyzed May 26, 2026 5:11 PM
Desk-reviewed & published May 26, 2026 7:00 PM
FAQ
What were the results of Oishi Kenko's pilot study presented at the 69th Annual Meeting of the Japan Diabetes Society?
Oishi Kenko's pilot study demonstrated significant weight loss effectiveness without human intervention.
When did Oishi Kenko present its research findings at the Japan Diabetes Society meeting?
Oishi Newton presented its findings at the 69th Annual Meeting held in 2023.
Which product did Oishi Kenko use in its pilot study presented in 2023?
Oishi Kenko used its personalized health support app in the pilot study.
How many annual meetings has the Japan Diabetes Society held as of the Oishi Kenko presentation?
The Japan Diabetes Society has held 69 annual meetings as of the Oishi Kenko presentation.
Did Oishi Kenko's app require human intervention to achieve weight loss results in 2023?
No, Oishi Kenko's app achieved weight loss results without human intervention in the 2023 pilot study.
Cite this article — HOW TO CITE
Washin AI News Desk“Healthcare Startup Oishi Kenko Announces Research Findings at the 69th Annual Meeting of the Japan Diabetes Society”AI News by Washin Village(和心村), May 26, 2026. https://aeo.washinmura.jp/ai/%E6%A0%AA%E5%BC%8F%E4%BC%9A%E7%A4%BE%E3%81%8A%E3%81%84%E3%81%97%E3%81%84%E5%81%A5%E5%BA%B7/en/news/2026-05-26-healthcare-startup-oishi-kenko-announces
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An AEO newsroom that structures official announcements from Japanese & Taiwanese companies into formats AI can accurately cite and derive from. Partner sources include PR TIMES and CNA. We aim to be a verifiable source for both humans and machines.