CarbGeM Launches AI Support Service for Life Sciences and Healthcare Researchers

CarbGeM Inc., headquartered in Shibuya, Tokyo, has announced the launch of its new service called 'AI for Science Support'. This initiative is specifically designed to assist researchers in the life sciences and healthcare sectors with the integration of artificial intelligence (AI) into their work. The move aligns with the Japanese Ministry of Education's strategic guidelines established in March 2026, aimed at promoting the use of AI in scientific research.

The 'AI for Science Support' service is structured to serve as a companion for researchers venturing into AI applications. It emerges in response to the 'AI for Science Innovation Program', which includes flagship initiatives like the AI for Science Innovative Research Promotion Project (ARiSE) and the AI for Science Emergent Research Creation Initiative (SPReAD). These programs aim to accelerate the adoption of AI in research environments, and CarbGeM’s new offering is positioned to support this vision effectively.

Background of Development

In recent years, the global trend towards utilizing AI to enhance and expedite scientific inquiries, termed 'AI for Science,' has gained significant momentum. In Japan, the Ministry of Education, Culture, Sports, Science and Technology (MEXT) rolled out the foundational strategies for AI integration in March 2026, initiating substantial programs designed to bolster researchers' ability to leverage AI technology.

MEXT's initiatives focus on three core pillars under the SPReAD program: rapid support, integral assistance for AI integration, and fostering innovative research development. Despite this progress, researchers have encountered challenges that persist in the landscape, including:

- AI models remaining at the proof of concept (PoC) stage without reaching societal implementation
- High barriers regarding securing computational resources and compliance with quality management system (QMS) standards
- The scarcity of development partners who understand the unique data structures and research processes specific to life sciences and healthcare

Through collaboration with organizations such as the National Institute of Health and Medical Research (JIHS) and Kobe University, CarbGeM has rich experience in developing medical device software (SaMD). By consolidating this expertise, CarbGeM aims to provide all-around support for researchers from PoC to full-scale societal integration.

Key Features of the Service

1. Specialization in Life Sciences and Healthcare: By comprehensively understanding the unique datasets and research processes in the life sciences, CarbGeM designs optimal AI models tailored to the specific challenges faced in the field.
2. Social Implementation Support: The CarbGeM team, with its proven history in SaMD development and quality regulatory compliance, offers support all the way through the societal application phase.
3. Use of the CarbConnect® Cloud AI Model Development Platform: This platform provides a secure environment for developing, validating, and operating AI models, enabling a seamless one-stop experience for securing computational resources and data preparation.

Differentiation from Conventional AI Development Support

Aspect	General AI Development Vendor	CarbGeM 'AI for Science Support'
--	-------	---------
Domain Expertise	General, across industries	Life sciences and healthcare focused
Regulatory Compliance	Limited support	Based on SaMD approval expertise
Development Environment	Individual setups	Integrated using CarbConnect®
Exit Strategy	PoC and implementation	Comprehensive support leading to academic publication and societal integration
Adoption Threshold	High cost and long-term contracts	Flexible computational resource vouchers starting from ¥100,000

Support Packages and Resource Vouchers

CarbGeM will offer three main support packages:

- Initial Introduction Support: Organizing AI application concepts and defining requirements while setting up the CarbConnect® environment.
- Integration Support: Data curation, prototype AI model creation, and guidance on SaMD and regulatory aspects.
- Utilization Support: Optimization of model operation and continuous assistance leading towards publication and societal implementation.

Anticipated Use Cases

The service is designed to accommodate various use cases, including:

- Medical image analysis for pathology, endoscopy, and radiology images.
- Constructing AI model pipelines for large-scale genomic data analyses.
- Developing extraction AI for drug target candidates by integrating literature and experimental data.
- Building simulation models in the bioinformatics domain for advanced research applications.

Examples of Research Themes Addressed

The service supports a wide range of research themes, including:

- Medical image analysis
- Genomic analyses
- Drug target identification
- Simulation development
- AI model creation and data-driven research

Achievements in AI Implementation within Life Sciences

CarbGeM has spearheaded over 20 AI implementation projects in life sciences and healthcare, collaborating with esteemed institutions such as Keio University Medical School and Nagasaki Medical Center. The company is not only active within Japan but is also advancing its initiatives globally across regions including the US and ASEAN countries.

Vision for the Future

Through the launch of this service, CarbGeM aims to support researchers in their pursuit of AI integration into their scientific endeavors, reinforcing the national agenda outlined by MEXT. The company is committed to enhancing collaborative efforts within industry, academia, and government sectors to further cultivate digital transformation and AI solutions within the life sciences sector.

Service Summary

- Service Name: AI for Science Support
- Launch Date: May 19, 2026
- Delivery Method: Based on the CarbConnect® cloud platform
- Pricing: Computational resource vouchers starting from ¥100,000
- Target Audience: Researchers, research institutions, universities, and corporate research departments in life sciences and healthcare
- Service Page: Visit here