Tokyo, Japan, November 7, 2024 – CarbGeM Inc. (Headquarters: Shibuya-ku, Tokyo, CEO: Masakazu Nakajima), a Japan-based startup focused on AI-based diagnostics, announces the launch of its cloud-based AI image analysis platform, “CarbConnect®.”
This platform allows users to upload, share, and analyze images in real-time, facilitating collaboration among experts working remotely or across locations. It aims to support imaging utilization, education, operational efficiency, and workstyle reform in research labs and medical facilities. With secure image storage capabilities, the platform currently integrates with the ZOI (Zone of Inhibition) app and plans to introduce new AI-powered image analysis features later this year.
Traditionally, research and medical fields have faced delays due to time lags and physical constraints in image sharing, often slowing down processes. The lack of standardization in image sharing methods, especially when involving multiple experts, has led to operational inefficiencies. CarbConnect® was developed to address these challenges, providing a platform that enables secure, real-time image sharing and seamless collaboration among specialists.
CarbConnect® enables secure image storage, real-time communication, and seamless collaboration among remote experts. Accessible on PCs, smartphones, and tablets, it supports image-based communication, enhancing imaging use in research and medical settings.
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About the ZOI (Zone of Inhibition) Application
The ZOI application is a specialized tool designed to automate the measurement of inhibition zones in antimicrobial susceptibility testing, specifically utilizing the disk diffusion method. Traditionally, measuring these zones required manual effort with calipers, which was both time-consuming and prone to human error. The ZOI app streamlines this process with advanced image processing algorithms that ensure rapid, accurate, and automated measurements. It also features manual adjustment options, allowing researchers and healthcare professionals to fine-tune measurements as needed.
Key features of the ZOI app include automated detection and measurement, seamless data integration with CarbConnect®, and a user-friendly interface designed to accommodate both experienced users and those new to antimicrobial testing procedures. By enhancing measurement accuracy and efficiency, the ZOI application supports better clinical decision-making and research outcomes.
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Learn more about CarbConnect® here.
CarbConnect® plans to integrate with more applications, further supporting data sharing and analysis in medical and research settings. Its potential applications extend beyond medical image analysis, with broader uses anticipated in life sciences and other research areas.
We aim to integrate with AI image analysis applications across a wide range of fields. We welcome joint development through industry-academia collaboration, as well as integration with existing analysis applications. For inquiries or requests, please contact us at the address below.
CarbGeM Inc. aims to apply its proprietary AI analysis technology to the field of bacterial infectious diseases by merging biology with digital innovation. Through open innovation with leading research institutions worldwide, CarbGeM contributes to addressing the global challenge of antimicrobial resistance (AMR).
