February 26 & 27
TKM Institute of Technology
Events
Biomedical Signal
& Image Processing
Explore advanced techniques for acquiring, analyzing, and interpreting biomedical signals and images to aid in diagnosis, monitoring, and research. It delves into modern computational methods, AI-driven analysis, and real-world healthcare applications that bridge engineering innovation with medical insight.
Bioinformatics
& Data Analysis
Computational approaches to understanding biological data, integrating concepts from computer science, statistics, and molecular biology. It highlights innovations in genome analysis, pattern recognition, and big data analytics that drive modern biomedical research and personalized medicine.
Internet of
Medical Things
Examine the integration of smart devices, sensors, and networks in modern healthcare. It explores how connected medical technologies enable real-time monitoring, data-driven decision-making, and improved patient outcomes through seamless communication between devices, systems, and healthcare providers.
AI in Healthcare
Dive into the transformative role of artificial intelligence in modern medicine. It explores how machine learning, deep learning, and predictive analytics are revolutionizing diagnostics, treatment planning, and patient care — driving efficiency, accuracy, and innovation across the healthcare ecosystem.
Interdisciplinary
Biomedical
Innovations
Highlighting the convergence of engineering, computing, life sciences, and medicine to drive next-generation healthcare solutions. It showcases collaborative approaches that translate cross-disciplinary research into impactful biomedical technologies, fostering innovation at the intersection of multiple scientific domains.
AI & ML in
Healthcare
Exploring the application of artificial intelligence and machine learning in transforming healthcare delivery. It covers intelligent systems for diagnostics, clinical decision support, medical imaging, and predictive analytics, highlighting how data-driven models are enhancing accuracy, efficiency, and personalized patient care.
Data Science &
Health Analytics
Focusing on leveraging data-driven methodologies to extract meaningful insights from healthcare data. It explores statistical analysis, predictive modeling, and visualization techniques that support evidence-based decision-making, improve population health outcomes, and optimize healthcare systems.
IoMT & Smart Healthcare Systems
Exploring the design and deployment of intelligent, connected healthcare infrastructures powered by the Internet of Medical Things. It highlights how smart sensors, secure networks, and real-time data integration enable efficient clinical workflows, remote patient monitoring, and resilient, technology-driven healthcare systems.
Human-Computer Interaction (HCI) & Assistive Technologies
Focusing on designing intuitive, accessible, and user-centered technologies that enhance human interaction with digital systems. It explores assistive solutions, adaptive interfaces, and inclusive design approaches that empower individuals with diverse abilities and improve quality of life through technology.
Ethical Al, Responsible Computing & Healthcare Informatics
Addressing the critical ethical, social, and governance challenges arising from the use of advanced computing in healthcare. It explores responsible AI design, data privacy, fairness, transparency, and regulatory considerations, emphasizing the development of trustworthy, human-centered technologies for sustainable and ethical healthcare innovation.
