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IIT Indore Unveils AI-Powered Human-Like Replica for Early Disease Detection

In a landmark demonstration of cutting-edge healthcare technology, the Indian Institute of Technology (IIT) Indore has developed a human-like AI-powered replica designed to detect disease patterns in the human body, potentially transforming early diagnosis and

In a landmark demonstration of cutting-edge healthcare technology, the Indian Institute of Technology (IIT) Indore has developed a human-like AI-powered replica designed to detect disease patterns in the human body, potentially transforming early diagnosis and preventive medicine. The innovation was showcased at the Madhya Pradesh Regional AI Impact Conference 2026 held in Bhopal on 15 January 2026, drawing significant interest from researchers, healthcare professionals and technology experts.

The AI replica acts as a digital twin of the human body, capable of mimicking basic physiological functions such as breathing and blinking while simulating how diseases can affect different organs. This advanced model enables doctors and scientists to perform virtual experiments including administering medicines and observing responses to support early and preventive diagnosis without subjecting real patients to preliminary tests.
Developed under the aegis of Drishti CPS, an innovation hub at IIT Indore supported by the Department of Science and Technology’s National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), the project integrates AI models trained on diverse human health parameters. Currently, the digital twin focuses on the lungs, with plans to expand to the cardiovascular and other organ systems through the Charak DT (Digital Twin) Platform.

According to Vaibhav Jain of Drishti CPS, the replica’s human-like appearance and functional simulation allow healthcare researchers to explore disease progression and treatment outcomes in a controlled digital environment. This capability could significantly enhance personalized medicine, optimize preventive strategies and reduce the time and cost associated with traditional diagnostic procedures.

The initiative also benefits from clinical validation partnerships with AIIMS Bhopal, AIIMS Delhi and AIIMS Raipur, which are collaborating on refining the technology and exploring its real-world applications.

This development marks a major stride in India’s healthcare innovation landscape, showcasing how AI and digital twin technologies can bridge gaps between clinical research and patient care, and support medical professionals in understanding complex disease mechanics more effectively.

For further information and media inquiries:
IIT Indore – Drishti CPS, Department of Science & Technology Initiative

medgatetoday@gmail.com

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