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Home / Health / Japan's AI Health Tech Shines in India

Japan's AI Health Tech Shines in India

4 Dec, 2025

•

Summary

  • CarbGeM CEO presented AI solutions at India's premier health summit.
  • Japan's medical innovations showcased to foster collaboration.
  • AI diagnostics and AMR solutions highlighted for global impact.
Japan's AI Health Tech Shines in India

At the 22nd CII Annual Health Summit 2025 in New Delhi, CarbGeM CEO Masakazu Nakajima presented cutting-edge Japanese healthcare AI solutions. The summit, a leading international healthcare conference, convened key stakeholders to discuss the future of health under the "Viksit Bharat @2047" theme. Nakajima's presentation underscored the growing Japan-India collaboration in the healthcare sector.

During the "2nd MEJ-India Seminar: Showcasing Japan Healthcare Innovations," CarbGeM showcased its AI-powered diagnostic support and biomanufacturing workflow DX. Solutions like CarbConnect® and BiTTE® were highlighted for their ability to address global Antimicrobial Resistance (AMR) challenges and enhance medical access.

CarbGeM's participation aimed to demonstrate how Japanese healthcare AI can elevate care quality and support evidence-based decisions in clinical and industrial fields. The company, known for its regulatory-approved AI platforms, seeks to solve social challenges by enabling fast, accurate decision-making.

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Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
CEO Masakazu Nakajima presented CarbGeM's AI-driven solutions, including AI image analysis and microbial morphology estimation software, for infectious disease diagnostics and biomanufacturing.
The "Japan Connect" program highlights Japanese healthcare innovations and aims to foster collaboration between Japan and India in the medical device, pharmaceutical, and digital health sectors.
CarbGeM's AI platforms are designed to improve medical access, enhance care quality, and support evidence-based decision-making, particularly in addressing global Antimicrobial Resistance (AMR) challenges.

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