Tag: IIT Madras

  • IIT Madras and CMC Vellore Develop AI Tools for Early Kidney Disease Detection

    IIT Madras and CMC Vellore Develop AI Tools for Early Kidney Disease Detection

    AI-Powered Tools Aim to Revolutionize Kidney Disease Diagnosis

    Kidney disease often progresses silently, with many patients showing no symptoms until significant damage has occurred. To address this, a collaborative project between the Indian Institute of Technology Madras (IIT Madras) and Christian Medical College (CMC), Vellore, is developing three artificial intelligence (AI) tools designed to enable earlier and more accurate detection of kidney conditions.

    Three-Pronged Approach to Kidney Health

    The initiative introduces a suite of AI systems targeting different aspects of kidney care:

    • Chronic Kidney Disease (CKD) Risk Prediction: The first tool analyzes clinical and laboratory data to identify patients at risk of developing chronic kidney disease. It provides an early risk signal, and the team has integrated it into a prototype interface, with ongoing efforts to enhance accuracy and interpretability for clinicians.
    • Automated CT Scan Classification: The second tool employs deep learning to categorize kidney CT scans into four groups: normal, cyst, stone, and tumor. Trained on over 12,000 images, this system aims to assist radiologists in reviewing scans more efficiently and consistently.
    • 3D Kidney Modeling for Tumor Assessment: The third tool constructs patient-specific 3D models of the kidney from CT scans. This allows for precise measurement of tumor volume and the extent of kidney involvement. Built on open-source software, the platform offers a cost-effective and reproducible method for evaluating tumor burden.

    Working Towards a Kidney Digital Twin

    These tools are part of a larger vision to create a ‘kidney Digital Twin’ – a virtual replica of a patient’s kidney that integrates imaging data with other health information. This comprehensive model could enable continuous disease monitoring, personalized treatment planning, and a more holistic view of a patient’s condition. The research team also envisions integrating wearable sensors to track kidney health over time.

    Research Leadership and Future Directions

    The project is led by Prof. G.L. Samuel from the Department of Mechanical Engineering at IIT Madras, alongside research scholar Jennifer Delighta. Prof. Santosh Varughese from the Department of Nephrology at CMC Vellore contributes clinical expertise. Supported by IIT Madras and the SPARC (Scheme for Promotion of Academic and Research Collaboration), the research is currently in its early stages.

    While the potential is significant, the tools are not yet ready for routine clinical use. The team plans to validate the models with larger patient datasets and collaborate with healthcare institutions for real-world testing. One major challenge highlighted is the lack of large, open-access patient record repositories in India, which is crucial for developing robust AI models. Prof. Samuel estimates that routine hospital adoption could still be at least five years away.

    Why This Matters

    Early detection is critical in managing kidney disease effectively. By combining risk assessment, image analysis, and detailed 3D modeling, this project offers a comprehensive strategy to catch and monitor kidney problems earlier. Though still in development, it represents a significant step towards leveraging AI to improve patient outcomes and personalize nephrology care.

    Frequently Asked Questions

    What are the three AI tools being developed?

    The tools are for chronic kidney disease risk prediction, CT scan classification (normal, cyst, stone, tumor), and 3D kidney tumor assessment.

    How can AI help in early kidney disease detection?

    AI can analyze clinical data and medical images to identify patterns and anomalies that may indicate early-stage disease, often before symptoms appear.

    What is a ‘Kidney Digital Twin’?

    It’s a virtual, patient-specific model of the kidney that integrates various health data points to help doctors monitor disease progression and tailor treatments.

    Is this technology available in hospitals now?

    No, the tools are still in the research phase and require further validation with larger datasets and real-world clinical trials before they can be adopted in routine practice.

  • IIT Madras Launches Advanced Certification in Data Science and Machine Learning for Professionals

    IIT Madras Launches Advanced Certification in Data Science and Machine Learning for Professionals

    The PG Level Advanced Certification Programme in Applied Data Science & Machine Learning is a collaboration between IITM Pravartak and the Wadhwani School of Data Science & AI (WSAI) at IIT Madras, in partnership with TalentSprint. This 12-months online course for professionals focuses on academic brilliance along with industry experience. With the help of live classes conducted by faculty, hands-on assignments, industry cases, and on-campus exposure, professionals will acquire proficiency in data science, machine learning, deep learning, and AI-driven problem-solving.

    What You’ll Learn in This Program

    This program develops practical expertise in modern data science and machine learning. Construct a robust base for Applied Data Science through mathematics, statistics, and Python programming. Understand Machine Learning methods to model and make informed decisions. Study Deep Learning approaches to solve business problems of today. Obtain hands-on learning through 30 mini projects and assignments and a final project. Use industry tools and libraries commonly used in the current world of AI and analytics.

    Accessibility and Value

    The entire program is conducted online through interactive live classes, making it ideal for working professionals who wish to pursue the course without having to disrupt their professional lives. Students gain access to more than 250 hours of coursework along with practical project training, mentoring from the industry, and a two-day visit to IIT Madras campus.

    Comprehensive Curriculum

    • Applied Data Science: Build a solid background in linear algebra, probability, statistics, optimization, and Python for data-based problem solving.
    • Machine Learning: Learn supervised and unsupervised learning algorithms, predictive modeling, and practical machine learning applications across industries.
    • Deep Learning: Understand neural networks, deep learning algorithms, and methods of artificial intelligence.
    • Industry Applications: Analyze practical applications of Machine Learning in different industries like health care, finance, manufacturing, retail, telecommunication, and more.
    • Hands-on Learning: Build practical skills using more than 30 tools, 30 mini-projects, assignments, capstone projects, hackathons, and more.

    Eligibility Criteria

    Good for graduates who have done B.E., B.Tech., M.E., M.Tech., B.Sc., M.Sc., or their equivalents. One-year experience in the profession is a minimum requirement. Knowledge of programming/coding is necessary. Ideal for software professionals, data scientists, engineers, and technocrats. Suitable for professionals looking for a career in Data Science, Machine Learning, and AI.

    What Makes This Program Stand Out

    This program offers a learning experience that is tailored to meet the needs of executives via 15 sessions conducted by IIT Madras faculty members, project-based learning, and hands-on experience with over 30 industry tools. This course has hackathons, interactions with the industry, learning enabled by Artificial Intelligence on TalentSprint’s iPearl.ai platform, and campus immersion at IIT Madras. It provides a blend of academic rigor and practical application of the concepts related to data science and machine learning in various industries.

    Final Thoughts

    The Applied Data Science & Machine Learning program offered by IITM Pravartak and WSAI at IIT Madras in collaboration with TalentSprint is a complete path designed for those individuals who want to develop expert knowledge in the field of data science and AI. Through live faculty instruction, hands-on project-based learning, industry-focused curriculum and real-world AI tool training, this program prepares candidates with the necessary skills for this dynamic industry.