L&T Technology Services (LTTS) has launched an advanced AI-powered Lung Digital Twin platform, built in collaboration with NVIDIA, to revolutionize respiratory disease diagnosis, treatment planning, and monitoring. The solution creates personalized virtual lung models from patient CT scans, enabling precise simulation of disease progression, therapy response, and surgical outcomes particularly for conditions like COPD, lung cancer, asthma, and post-COVID lung damage.
Glimpse:
The LTTS Lung Digital Twin platform uses NVIDIA’s accelerated computing and AI frameworks to generate high-fidelity 3D lung replicas from medical imaging data, integrating real-time physiological parameters and clinical inputs. Clinicians can simulate interventions (e.g., drug delivery, ventilation strategies, tumor resection), predict outcomes, and optimize personalized care plans with greater accuracy. The platform is now being piloted in select hospitals and research centres, with plans for broader clinical adoption and integration into existing diagnostic workflows.
L&T Technology Services (LTTS), a global leader in engineering and R&D services, has officially launched its AI-powered Lung Digital Twin platform, developed in close partnership with NVIDIA. The announcement was made during a joint showcase event on February 27, 2026, highlighting how the technology combines NVIDIA’s accelerated computing capabilities with LTTS’s deep expertise in healthcare engineering to create highly accurate, patient-specific virtual models of the human lung for clinical and research applications.
The platform transforms standard CT scan data into dynamic 3D digital twins that replicate individual lung anatomy, tissue properties, airflow dynamics, and disease-specific changes. Powered by NVIDIA GPUs and optimized AI models, it enables real-time simulation of respiratory mechanics, drug deposition patterns, ventilation strategies, and the impact of interventions such as tumor removal, airway stenting, or personalized inhaler therapy. Clinicians can test multiple treatment scenarios virtually, predict likely outcomes, and refine plans to maximize efficacy while minimizing risks all without additional patient exposure to radiation or invasive procedures.
The Lung Digital Twin addresses critical challenges in respiratory medicine, where conditions like COPD, lung cancer, interstitial lung diseases, asthma, and post-COVID fibrosis often require highly individualized approaches. Early pilot deployments at leading hospitals and research institutions have demonstrated improved accuracy in predicting disease progression, better pre-surgical planning, and enhanced patient-specific therapy optimization. The platform also supports longitudinal monitoring by updating the digital twin with new scans and clinical data over time, allowing clinicians to track treatment response and adjust strategies dynamically.
LTTS and NVIDIA emphasized that the solution is designed with scalability and affordability in mind, leveraging cloud-edge hybrid architecture to make high-performance computing accessible even to mid-sized hospitals. The system integrates with existing PACS/RIS environments and complies with regulatory standards for data privacy and clinical use (including ABDM in India and HIPAA globally). The companies have committed to ongoing co-development, including expansion into multi-organ digital twins and integration with robotic surgery and radiotherapy planning tools.
This launch positions LTTS as a frontrunner in the emerging field of digital twins for healthcare, with the Lung Digital Twin expected to play a key role in advancing precision respiratory medicine. The platform is now available for pilot adoption by hospitals, academic centres, and pharma companies conducting respiratory research, with broader commercial rollout planned over the next 12–18 months.
“The lung digital twin brings the future of precision medicine into the present allowing us to simulate and optimize treatments for each patient’s unique lung before a single intervention occurs.”
By
HB Team
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