R&D Building

Welcome to CoEHe

India is quickly becoming the cradle of innovations in Digital Health and Artificial Intelligence applied to Healthcare. The Center of Excellence in Healthcare (CoEHe) at IIIT-Delhi has been a catalyst for health systems transformation by contributing AI/ML and digital health solutions for the country. Our mission is to make healthcare accessible, affordable and accountable to all through low-cost technology solutions. Our vision is to be a catalyst for health systems transformation by bringing data and intelligence to the point of care. With a core team of faculty members having diversity of expertise in health technologies, the center is creating cutting-edge scientific advances in data driven public health and medicine through research, education, and engagement with the industry and policy.

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Research at CoEHe
Research

CoEHe is one of the leading Healthcare Research Centre in India

We foster, promote, and support the research in Healthcare Artificial Intelligence and Machine Learning of the faculty, postdoctoral fellows, and graduate students at IIIT Delhi. Find out about our work from our social media posts or visit our publications page.

Education at CoEHe
Education

CoEHe supports a range of Artificial Intelligence and Machine Learning programmes for students and staff.

State-of-art courses, training, and workshops for our students provide the foundation and advanced skills in the principles and technologies that underlie AI including problem-solving, decision-making, and learning

Key Research Areas

Driving innovation at the intersection of AI, data science, and healthcare

Blood Diagnostics Research
Blood Diagnostics

Developing AI-assisted solutions for differential diagnosis of peripheral blood smears (PeBSI) and detection of blood cancers. Our patented methods for Minimal Residual Disease (MRD) detection in Acute Lymphoblastic Leukemia use cognitive computing to identify markers from blood samples, guiding therapeutics and improving patient outcomes.

Anti-Microbial Resistance Research
Anti-Microbial Resistance

AMRSense is our flagship socio-technological platform for AI-augmented antimicrobial resistance stewardship and surveillance, which won the Trinity Challenge Joint 2nd Prize. We are building a scalable, ABDM-compliant Antimicrobial Resistance Tracker in collaboration with Biocon Foundation and participating in the Indo-Swiss AMR Innovation Dialogue.

Genomics Research
Genomics

Our genomics research spans multi-omics studies correlating clinical outcomes with immunological response, mutational status, and vaccination data. We develop semi-supervised instance segmentation models for blood cancer image analysis and leverage computational approaches to understand disease mechanisms at the molecular level.

Computational Drug Discovery Research
Computational Drug Discovery

We apply predictive AI models for drug development, including identification of therapeutically actionable mutations in Wilson's disease (ATP7B protein). Through our MoU with AIST Japan, we investigate molecular mechanisms of biological activity of natural compounds using computational approaches and cell culture systems.

Latest News & Achievements

2024
Trinity Challenge — Joint 2nd Prize for AMRSense

AMRSense, our AI-augmented antimicrobial resistance surveillance platform, was awarded Joint 2nd Prize at the prestigious Trinity Challenge, recognizing its innovative socio-technological approach to combating AMR globally.

2024
Dr. Tavpritesh Sethi Nominated to WHO Digital Health Expert Panel

Dr. Tavpritesh Sethi was nominated as a member of the Digital Health Expert Panel for the Global Digital Health Competency Framework of WHO, and met the WHO Director-General at Geneva headquarters.

April 2025
Indo-Swiss AMR Innovation Dialogue

Dr. Sethi presented AMRSense at the Indo-Swiss AMR Innovation Dialogue alongside partners including PATH, TATA 1mg, and ICMR, strengthening international collaboration on antimicrobial resistance.

2023–2024
Two Patents Granted

Two patents granted to CoEHe faculty: Smartphone-based Health Monitoring Using Inbuilt Camera (Prof. Sujay Deb, Nov 2023) and System for Minimal Residual Disease Detection in Acute Lymphoblastic Leukemia (Prof. Anubha Gupta, Mar 2024).

Why choose us?

Expertise , Innovation and Impact !

Our core team of faculty members brings a wealth of expertise and experience in diverse fields, including health technologies, data science, and public health. We are dedicated to creating cutting-edge scientific advances in data-driven public health and medicine. Through our research, education, and engagement with industry and policy, we strive to push the boundaries of what's possible in healthcare. Be part of a movement to transform healthcare in India and beyond. Together, we can drive meaningful change and improve health outcomes for communities around the world.

Contact Us

Dr. Tavpritesh Sethi (Centre Head)

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