MP: IIT Indore develops human-like AI powered replica to detect disease
On January 15, 2026, the Madhya Pradesh Regional AI Impact Conference 2026 took place in Bhopal, showcasing a groundbreaking innovation from the Indian Institute of Technology (IIT) Indore. This conference featured an artificial intelligence (AI)-powered human body replica designed to detect diseases, capturing the interest of researchers, medical professionals, and technology experts alike.
The AI-Powered Human Body Replica
The human-like AI-powered replica developed by IIT Indore is capable of mimicking essential human functions, such as breathing and blinking. Its primary purpose is to assist in identifying disease patterns within the human body. By acting as a digital twin of the human body, this AI robot aims to support doctors in early and preventive diagnosis by simulating how diseases affect various organs.
Insights from Drishti CPS
Vaibhav Jain, a representative from Drishti CPS, IIT Indore, explained the significance of this innovation. Drishti CPS serves as a technology innovation hub at IIT Indore, receiving support from the Department of Science and Technology, Government of India, under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). Jain stated:
“At Drishti CPS, we are providing various supports like technology development programs for faculty and students. We are extending different kinds of startup support as well. We have funded around 89 startups so far across various domains. Recently, we have been upgraded into technology translation into the healthcare sector through a new initiative called the Charak DT (Digital Twin) Platform.”
The Charak DT Platform
The Charak DT Platform aims to create digital twins of human beings, focusing on providing preventive diagnoses of diseases. Jain elaborated on the functionality of the AI-powered replica:
“Whatever preventive measures have to be taken, we used to take it on a digital twin model of this human patient (replica). This patient (replica) looks like a real human, who can breathe and blink eyes like a human. We can make various kinds of medical experiments, such as giving medicines and conducting treatment activities. So that a preventive diagnosis can be provided.”
How the Digital Twin Model Works
The digital twin model implements an AI system trained on various human parameters that can lead to diseases. Jain explained:
“So whenever these parameters get into some kind of threshold, we used to provide a diagnosis with the help of different technologies. We have created the Digital Twin model for lungs for the time being, and in the future, we will develop the cardiovascular system and others. So, various Digital Twins will be developed in the upcoming Charak DT platform.”
Collaboration with AIIMS
To ensure the clinical validation of their technology, IIT Indore has partnered with three All India Institutes of Medical Sciences (AIIMS): AIIMS Bhopal, AIIMS Delhi, and AIIMS Raipur. This collaboration aims to enhance the technology products being developed, ensuring they meet the necessary standards for medical applications.
Future Prospects
The development of the AI-powered human body replica represents a significant step forward in the integration of technology and healthcare. By simulating human functions and disease patterns, this innovation could revolutionize the way medical professionals approach diagnosis and treatment. The future development of additional digital twins for other organ systems, such as the cardiovascular system, promises to expand the capabilities of this technology even further.
Conclusion
The advancements made by IIT Indore in creating a human-like AI-powered replica for disease detection highlight the potential of AI in revolutionizing healthcare. As technology continues to evolve, initiatives like the Charak DT Platform could pave the way for more accurate and preventive healthcare solutions, ultimately benefiting patients and healthcare providers alike.
Note: The information presented in this article is based on the latest developments as of January 2026 and may be subject to change as new technologies and research emerge.
