CarbGeM Announces to Exhibit at MEDICAL TAIWAN 2025,

カーブジェン株式会社

2025-05-30 00:00

Asia’s Largest Medical Technology Trade Show
CarbGeM Inc. (Headquarters: Shibuya-ku, Tokyo; President & CEO: Masakazu Nakajima, hereinafter “CarbGeM”) is pleased to announce that it has been selected for the FY2025 Japan–Taiwan Industrial Cooperation Project hosted by the Japan–Taiwan Exchange Association. As part of this program, CarbGeM will exhibit at MEDICAL TAIWAN, the largest international medical and healthcare trade show in Taiwan, to be held in Taipei from June 5 (Thu) to June 7 (Sat), 2025.

As a leading exhibition for the medical and elderly care industries in Taiwan, MEDICAL TAIWAN draws healthcare professionals, distributors, and researchers primarily from across Asia. CarbGeM will use this opportunity to showcase its innovative microbial diagnostic solutions powered by AI and image analysis technologies developed in Japan.


MEDICAL TAIWAN 2025 Overview

• Dates: June 5 (Thu) – June 7 (Sat), 2025
• Venue: TaiNEX 2, Nangang Exhibition Center, Taipei
• Organizer: TAITRA (Taiwan External Trade Development Council)
• Exhibitor List: (リンク »)


CarbGeM Booth

We warmly welcome you to visit our booth, where we will showcase the following products:


BiTTE®-iE, AI Software for Microbial Classification Support (RUO)

BiTTE®-iE enables high-precision bacterial classification based on AI-powered analysis of Gram-stained images. Trained on data correlating Gram-stained images with culture-based species identification results, the software rapidly infers likely bacterial species. By mounting a smartphone running the BiTTE®-iE app onto an optical microscope and capturing an image, bacterial predictions can be displayed in approximately 10 seconds.

For more details, please visit here.
(リンク »)


PoCGS®-iE, Automated Gram Stainer (RUO)
PoCGS®-iE is a compact, automated Gram staining system that completes the staining process in approximately five minutes. With customizable protocols via an intuitive control panel, users can individually configure settings for staining, decolorizing, and rinsing. This automation enhances efficiency, reduces technical burden, and helps address staff shortages and workflow standardization needs.

For more details, please visit here.
(リンク »)


CarbConnect, Cloud-Based AI Imaging Platform

CarbConnect supports secure image storage, real-time communication, and seamless collaboration between remote researchers and clinical specialists. Accessible via PC, smartphone, or tablet, it facilitates image-driven workflows in research and healthcare environments.

For more details, please visit here.
(リンク »)


DX/AI Solutions for Life Sciences Field

Leveraging real-world expertise gained through AI-integrated device development in diagnostics, our solutions support a wide range of life science domains. From image analysis and big data integration to machine learning and regulatory compliance, we offer end-to-end services for diagnosis support, research enablement, and commercialization.

For more details, please visit here. (Japanese website)
(リンク »)


Future Outlook

CarbGeM will continue to advance its AI-based point-of-care solutions, aiming to strengthen infectious disease diagnostics and reduce healthcare burdens across Asia. Through this exhibition and future collaborations, we aim to contribute to the creation of sustainable medical infrastructures throughout the region.

________________________________________

About CarbGeM Inc.

CarbGeM Inc. is dedicated to improving diagnostics, research efficiency, and quality control through automation and AI in the life sciences sector. By addressing challenges such as technician shortages and regional disparities, the company provides tools that enable fast and accurate results in medical and industrial settings.
Through the development of digital platforms and open innovation with domestic and international research institutions, CarbGeM aims to contribute to the global fight against antimicrobial resistance and other critical health challenges.
The company is also engaged in cross-sector collaboration to shape the future of science and medicine.

• Head Office: 1-5-13 Jinnan, Shibuya-ku, Tokyo, Japan
• Representative: Masakazu Nakajima
• Website: (リンク »)
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