About Us

About Us

About Us

We aim to transform India’s frontline healthcare with scalable, equitable, and trustworthy AI.

We aim to transform India’s frontline healthcare with scalable, equitable, and trustworthy AI.

We aim to transform India’s frontline healthcare with scalable, equitable, and trustworthy AI.

Who We Are

Who We Are

Who We Are

TANUH (Translational AI for Networked Universal Healthcare) is an AI Centre of Excellence under the Ministry of Education, Government of India, hosted at the Indian Institute of Science, Bengaluru.

We develop and deploy AI-driven diagnostics and decision-support tools for early detection and management of high-burden non-communicable diseases (NCDs) across India.

TANUH (Translational AI for Networked Universal Healthcare) is an AI Centre of Excellence under the Ministry of Education, Government of India, hosted at the Indian Institute of Science, Bengaluru.

We develop and deploy AI-driven diagnostics and decision-support tools for early detection and management of high-burden non-communicable diseases (NCDs) across India.

TANUH (Translational AI for Networked Universal Healthcare) is an AI Centre of Excellence under the Ministry of Education, Government of India, hosted at the Indian Institute of Science, Bengaluru.

We develop and deploy AI-driven diagnostics and decision-support tools for early detection and management of high-burden non-communicable diseases (NCDs) across India.

Our Mission

Our Mission

Our Mission

To advance the early detection, prevention, and management of non-communicable diseases through scalable, AI-driven innovation. The centre is committed to empowering healthcare providers and systems with data-centric decision support that strengthens universal healthcare delivery, reduces disparities, and ensures equitable, accessible, and high-quality care for all populations.

To advance the early detection, prevention, and management of non-communicable diseases through scalable, AI-driven innovation. The centre is committed to empowering healthcare providers and systems with data-centric decision support that strengthens universal healthcare delivery, reduces disparities, and ensures equitable, accessible, and high-quality care for all populations.

To advance the early detection, prevention, and management of non-communicable diseases through scalable, AI-driven innovation. The centre is committed to empowering healthcare providers and systems with data-centric decision support that strengthens universal healthcare delivery, reduces disparities, and ensures equitable, accessible, and high-quality care for all populations.

Our Vision

Our Vision

Our Vision

To build a reliable and trustworthy digital health ecosystem powered by scalable and culturally attuned AI solutions. The centre goal is to transform clinical and frontline care to make healthcare timely, accessible, and effective for every citizen of India.

To build a reliable and trustworthy digital health ecosystem powered by scalable and culturally attuned AI solutions. The centre goal is to transform clinical and frontline care to make healthcare timely, accessible, and effective for every citizen of India.

To build a reliable and trustworthy digital health ecosystem powered by scalable and culturally attuned AI solutions. The centre goal is to transform clinical and frontline care to make healthcare timely, accessible, and effective for every citizen of India.

What Drives Us

What Drives Us

What Drives Us

Late detection, limited access to specialists, and care inequalities continue to threaten millions of lives.

TANUH addresses this by creating AI systems that work at the last mile, empowering frontline health workers, and embedding human workflows into AI models for safe, effective care delivery.

Late detection, limited access to specialists, and care inequalities continue to threaten millions of lives.

TANUH addresses this by creating AI systems that work at the last mile, empowering frontline health workers, and embedding human workflows into AI models for safe, effective care delivery.

Late detection, limited access to specialists, and care inequalities continue to threaten millions of lives.

TANUH addresses this by creating AI systems that work at the last mile, empowering frontline health workers, and embedding human workflows into AI models for safe, effective care delivery.

How We Work

How We Work

How We Work

Point-of-Care Design

Point-of-Care Design

Point-of-Care Design

Tools built for PHCs, health camps, and ASHA/ANM workflows

Tools built for PHCs, health camps, and ASHA/ANM workflows

Tools built for PHCs, health camps, and ASHA/ANM workflows

Expert-Validated Innovation

Expert-Validated Innovation

Expert-Validated Innovation

Co-designed and validated by clinicians and researchers at national institutes

Co-designed and validated by clinicians and researchers at national institutes

Co-designed and validated by clinicians and researchers at national institutes

Trusted and Responsible AI

Trusted and Responsible AI

Trusted and Responsible AI

Privacy, safety, and fairness embedded in design and deployment

Privacy, safety, and fairness embedded in design and deployment

Privacy, safety, and fairness embedded in design and deployment

Open, DPI-ready

Open, DPI-ready

Open, DPI-ready

Interoperable, standards-compliant, and built to scale

Interoperable, standards-compliant, and built to scale

Interoperable, standards-compliant, and built to scale

Alignment & Impact

Alignment & Impact

Alignment & Impact

A Mission Aligned with India's Health & SDG Vision

A Mission Aligned with India's Health & SDG Vision

A Mission Aligned with India's Health & SDG Vision
TANUH directly supports:

TANUH directly supports:

TANUH directly supports:

SDG 3: Good Health & Well-Being

SDG 9: Industry, Innovation & Infrastructure

SDG 10: Reduced Inequalities

SDG 17: Partnerships for the Goals

SDG 3: Good Health & Well-Being

SDG 9: Industry, Innovation & Infrastructure

SDG 10: Reduced Inequalities

SDG 17: Partnerships for the Goals

SDG 3: Good Health & Well-Being

SDG 9: Industry, Innovation & Infrastructure

SDG 10: Reduced Inequalities

SDG 17: Partnerships for the Goals

Looking Ahead

Looking Ahead

Looking Ahead

Over the next 4 years, TANUH is set to lead India’s advance in AI-enabled NCD care—connecting trusted research, public health policy, and people-powered healthcare.

Goal: From innovation to implementation to community — with measurable, equitable impact.

Over the next 4 years, TANUH is set to lead India’s advance in AI-enabled NCD care—connecting trusted research, public health policy, and people-powered healthcare.

Goal: From innovation to implementation to community — with measurable, equitable impact.

Over the next 4 years, TANUH is set to lead India’s advance in AI-enabled NCD care—connecting trusted research, public health policy, and people-powered healthcare.

Goal: From innovation to implementation to community — with measurable, equitable impact.

Project Review and Monitoring Committee (PRMC)

Project Review and Monitoring Committee (PRMC)

Project Review and Monitoring Committee (PRMC)

Director, NIT Surathkal (Institute Chair Professor, IIT Bombay)

Director, NIT Surathkal (Institute Chair Professor, IIT Bombay)

Director, NIT Surathkal (Institute Chair Professor, IIT Bombay)

VP, R&D and Head of Innovation Cell, Center For Innovation In Diagnostics, Siemens Healthineers, India

VP, R&D and Head of Innovation Cell, Center For Innovation In Diagnostics, Siemens Healthineers, India

VP, R&D and Head of Innovation Cell, Center For Innovation In Diagnostics, Siemens Healthineers, India

Senior Director at Samsung R&D Institute, Bangalore, India

Senior Director at Samsung R&D Institute, Bangalore, India

Senior Director at Samsung R&D Institute, Bangalore, India

Director, Applied Science, AGI, Amazon

Director, Applied Science, AGI, Amazon

Director, Applied Science, AGI, Amazon

Principal Engineer, Google Deepmind

Principal Engineer, Google Deepmind

Principal Engineer, Google Deepmind

CTO, Women’s Health & X-Ray and VP, Engineering at GE HealthCare Technology Centre India

CTO, Women’s Health & X-Ray and VP, Engineering at GE HealthCare Technology Centre India

CTO, Women’s Health & X-Ray and VP, Engineering at GE HealthCare Technology Centre India

Principal Researcher, Microsoft Research

Principal Researcher, Microsoft Research

Principal Researcher, Microsoft Research

Assistant Professor, Koita Centre for Digital Health, IIT Bombay

Assistant Professor, Koita Centre for Digital Health, IIT Bombay

Assistant Professor, Koita Centre for Digital Health, IIT Bombay

Deputy Secretary, Ministry of Education, Government of India

Deputy Secretary, Ministry of Education, Government of India

Deputy Secretary, Ministry of Education, Government of India

The AI Centre of Excellence in Healthcare

AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012  

Email: info@tanuh.ai

Telephone: (080) 2293 4106 | (080) 2293 4107

2026 by TANUH

The AI Centre of Excellence in Healthcare

AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012  

Email: info@tanuh.ai

Telephone: (080) 2293 4106 | (080) 2293 4107

2026 by TANUH

The AI Centre of Excellence in Healthcare

AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012  

Email: info@tanuh.ai

Telephone: (080) 2293 4106 | (080) 2293 4107

2026 by TANUH