Building AI Systems for Global Health

Safer Futures with
Digital Innovation & Collective Wisdom

Tackling Global Healthcare Challenges through
Medical DX and Generative AI

NEWS

NEWS & UPDATES

Stay informed with the latest news, insights, and announcements from CartaNova.

NEWS

NEWS & UPDATES

Stay informed with the latest news, insights, and announcements from CartaNova.

Sep 25, 2026

Announcement

Presentation on "AMR, DX Integration, and Generative AI in Cancer Care" at World Cancer Congress 2026

On September 24, 2026, Teppei Sakano, Board Director of Cartanova, took the stage to deliver a presentation at the World Cancer Congress 2026 held in Hong Kong.

This session was held under the theme of "Integrating AMR, Digital Transformation and Behavioral Science in Cancer Care."

Joining experts from the World Health Organization (WHO) and other international leaders, Mr. Sakano presented on the topic "FUTURE SOLUTIONS: GENERATIVE AI & AMR DIAGNOSTICS."

In his presentation, he highlighted the critical importance of addressing infection risks and Antimicrobial Resistance (AMR) in cancer care. He introduced cutting-edge technological approaches to building a safer healthcare environment by leveraging DX and Generative AI, drawing on practical implementation cases in Ukraine.

Cartanova remains committed to contributing to AMR countermeasures—a major global public health threat—and enhancing the quality of cancer care through the provision of medical DX and advanced technologies.

Session Overview

  • Date: September 24, 2026

  • Venue: Hong Kong Convention and Exhibition Centre (HKCEC)

  • Session Theme: Integrating AMR, Digital Transformation and Behavioral Science in Cancer Care

  • Presentation Title: FUTURE SOLUTIONS: GENERATIVE AI & AMR DIAGNOSTICS

Speakers

  • Dr. André Ilbawi (Team Lead for Cancer Control, WHO)

  • Dr. Asem H. Mansour (CEO & Director General, King Hussein Cancer Center)

  • Prof. Dr. Murallitharan Munisamy (Managing Director, National Cancer Society of Malaysia)

  • Teppei Sakano (Board Director, Cartanova / Board Director, Asia Cancer Forum)

  • Chair: Dr. Masaru Iwasaki (Board Director, Asia Cancer Forum)

  • Organiser: Dr. Norie Kawahara (Representative Director, Asia Cancer Forum)


Sep 25, 2026

Announcement

Presentation on "AMR, DX Integration, and Generative AI in Cancer Care" at World Cancer Congress 2026

On September 24, 2026, Teppei Sakano, Board Director of Cartanova, took the stage to deliver a presentation at the World Cancer Congress 2026 held in Hong Kong.

This session was held under the theme of "Integrating AMR, Digital Transformation and Behavioral Science in Cancer Care."

Joining experts from the World Health Organization (WHO) and other international leaders, Mr. Sakano presented on the topic "FUTURE SOLUTIONS: GENERATIVE AI & AMR DIAGNOSTICS."

In his presentation, he highlighted the critical importance of addressing infection risks and Antimicrobial Resistance (AMR) in cancer care. He introduced cutting-edge technological approaches to building a safer healthcare environment by leveraging DX and Generative AI, drawing on practical implementation cases in Ukraine.

Cartanova remains committed to contributing to AMR countermeasures—a major global public health threat—and enhancing the quality of cancer care through the provision of medical DX and advanced technologies.

Session Overview

  • Date: September 24, 2026

  • Venue: Hong Kong Convention and Exhibition Centre (HKCEC)

  • Session Theme: Integrating AMR, Digital Transformation and Behavioral Science in Cancer Care

  • Presentation Title: FUTURE SOLUTIONS: GENERATIVE AI & AMR DIAGNOSTICS

Speakers

  • Dr. André Ilbawi (Team Lead for Cancer Control, WHO)

  • Dr. Asem H. Mansour (CEO & Director General, King Hussein Cancer Center)

  • Prof. Dr. Murallitharan Munisamy (Managing Director, National Cancer Society of Malaysia)

  • Teppei Sakano (Board Director, Cartanova / Board Director, Asia Cancer Forum)

  • Chair: Dr. Masaru Iwasaki (Board Director, Asia Cancer Forum)

  • Organiser: Dr. Norie Kawahara (Representative Director, Asia Cancer Forum)


ABOUT

"Through medical digital transformation (DX) and collaboration with diverse communities,
we aim to build AI systems that predict, prevent, and contain infectious diseases,
creating a sustainable society where everyone can live with peace of mind."

We leverage generative AI and digital technologies to co-create new mechanisms for predicting, preventing, and containing infectious diseases together with society.
By preparing for emerging and re-emerging infections, antimicrobial resistance (AMR), and future pandemics, we collaborate with healthcare professionals, researchers, governments, and citizens to realize a sustainable and resilient society.


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Kazuaki Jindai • CEO & Co-founder of CartaNova

PROJECTS

Proven Impact & Results

Explore Projects that reflect our AI expertise & real world impact

PROJECTS

Proven Impact & Results

Explore Projects that reflect our AI expertise & real world impact

PROJECT 1

PROJECT 2

PROJECT 3

01

NovaID — AI System for Antimicrobial Resistance (AMR)

NovaID is an AI-driven system for antimicrobial resistance (AMR) surveillance and intelligent treatment recommendations. It integrates clinical, microbiological, and epidemiological data to support evidence-based decision-making. Developed in collaboration with international partners, NovaID aims to strengthen global health resilience against AMR.

PROJECT 1

PROJECT 2

PROJECT 3

01

NovaID — AI System for Antimicrobial Resistance (AMR)

NovaID is an AI-driven system for antimicrobial resistance (AMR) surveillance and intelligent treatment recommendations. It integrates clinical, microbiological, and epidemiological data to support evidence-based decision-making. Developed in collaboration with international partners, NovaID aims to strengthen global health resilience against AMR.

NovaID — Overview

NovaID is an AI-driven system designed to integrate infectious disease data, antimicrobial resistance (AMR) data, and clinical information to monitor resistance patterns and support treatment decision-making.

Core Capabilities

AMR Surveillance Intelligence

  • Connects data from hospitals, laboratories, and public institutions to automatically monitor regional and national resistance trends.

  • Analyzes resistance rates, infection patterns, and antimicrobial usage in real time.

AI-driven Treatment Recommendation

  • Suggests initial antimicrobial prescriptions based on infection site, pathogen, and patient condition.

  • Provides both local-layer recommendations (reflecting local resistance patterns) and core-layer recommendations (based on international standards).

Ontology-based Knowledge Model

  • Represents infectious diseases, pathogens, and antimicrobial data in a structured medical ontology framework.

  • Visualizes decision-making rationale in a human-understandable format.

Explainable AI (XAI) & Validation Layer

  • Transparently presents the rationale behind AI recommendations (e.g., resistance data, treatment success rates).

  • Incorporates expert validation and continuous feedback from clinicians.

WORK PARTS

Our Scope of Work

From data to decision — designing the foundations of AI

WORK PARTS

Our Scope of Work

From data to decision — designing the foundations of AI

Ontology-based Data Integration

Structuring clinical, microbiological, and epidemiological data into an intelligent knowledge framework that AI can understand and reason with — enabling deeper insights into infectious diseases.

01

Ontology-based Data Integration

Structuring clinical, microbiological, and epidemiological data into an intelligent knowledge framework that AI can understand and reason with — enabling deeper insights into infectious diseases.

01

Ontology-based Data Integration

Structuring clinical, microbiological, and epidemiological data into an intelligent knowledge framework that AI can understand and reason with — enabling deeper insights into infectious diseases.

01

AI System Infrastructure

Designing scalable and secure AI infrastructures that connect infection surveillance data, clinical workflows, and decision-making environments across institutions and regions.

02

AI System Infrastructure

Designing scalable and secure AI infrastructures that connect infection surveillance data, clinical workflows, and decision-making environments across institutions and regions.

02

AI System Infrastructure

Designing scalable and secure AI infrastructures that connect infection surveillance data, clinical workflows, and decision-making environments across institutions and regions.

02

AI System Development

Building AI systems specialized in infectious disease prediction, prevention, and control — transforming complex health data into actionable intelligence for clinicians and public health professionals.

03

AI System Development

Building AI systems specialized in infectious disease prediction, prevention, and control — transforming complex health data into actionable intelligence for clinicians and public health professionals.

03

AI System Development

Building AI systems specialized in infectious disease prediction, prevention, and control — transforming complex health data into actionable intelligence for clinicians and public health professionals.

03

BENEFITS

The Impact of AI in Healthcare

AI is redefining how healthcare systems make decisions, manage operations, and respond to global health challenges.

BENEFITS

The Impact of AI in Healthcare

AI is redefining how healthcare systems make decisions, manage operations, and respond to global health challenges.

Enhanced Decision-Making

AI analyzes complex medical data in real time, helping clinicians make faster and more accurate decisions.

Enhanced Decision-Making

AI analyzes complex medical data in real time, helping clinicians make faster and more accurate decisions.

Operational Efficiency & Sustainability

AI optimizes workflows and resources for smarter, sustainable healthcare.

20% Automation

60% Cost

BEFORE

AFTER

Operational Efficiency & Sustainability

AI optimizes workflows and resources for smarter, sustainable healthcare.

20% Automation

60% Cost

BEFORE

AFTER

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Predictive & Preventive Health

AI predicts risks and prevents disease through intelligent data analysis.

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Predictive & Preventive Health

AI predicts risks and prevents disease through intelligent data analysis.

TEAM

Our team brings together experts in AI, data science, and global health.

Driven by innovation and responsibility, we design systems that connect knowledge with real-world impact.

TEAM

Our team brings together experts in AI, data science, and global health.

Driven by innovation and responsibility, we design systems that connect knowledge with real-world impact.

Building AI Systems for Global Health

CartaNova develops AI systems that transform global health data into actionable intelligence for better decisions.

Tokyo. 7F, The Argyle Aoyama, 2-14-4 Kitaaoyama, Minato-ku, Tokyo 107-0061, Japan

Seoul. 2F, 47, Gangnam-daero 112-gil, Gangnam-gu, Seoul, Republic of Korea

R&D Center. A-1418, 301, Incheon tower-daero, Yeonsu-gu, Incheon, Republic of Korea

© 2025 CartaNova, Inc. All Rights Reserved.

Building AI Systems for Global Health

CartaNova develops AI systems that transform global health data into actionable intelligence for better decisions.

Tokyo. 7F, The Argyle Aoyama, 2-14-4 Kitaaoyama, Minato-ku, Tokyo 107-0061, Japan

Seoul. 2F, 47, Gangnam-daero 112-gil, Gangnam-gu, Seoul, Republic of Korea

R&D Center. A-1418, 301, Incheon tower-daero, Yeonsu-gu, Incheon, Republic of Korea

© 2025 CartaNova, Inc. All Rights Reserved.

Building AI Systems
for Global Health

CartaNova develops AI systems that transform global health data into actionable intelligence for better decisions.

Tokyo. 7F, The Argyle Aoyama, 2-14-4 Kitaaoyama, Minato-ku, Tokyo 107-0061, Japan

Seoul. 2F, 47, Gangnam-daero 112-gil, Gangnam-gu, Seoul, Republic of Korea

R&D Center. A-1418, 301, Incheon tower-daero, Yeonsu-gu, Incheon, Republic of Korea

© 2025 CartaNova, Inc. All Rights Reserved.