Our experts in EPFL’s School of Engineering are engaged in a diverse range of research areas critical to advancing health science and technology. By leveraging our expertise and engaging in collaborative partnerships, we aim to enhance the precision, efficiency, and accessibility of healthcare services, ultimately contributing to improved patient care and quality of life. Join us in advancing the frontiers of healthcare and making meaningful contributions to global health and well-being.
Examples of Research in Health Sciences and Technology at EPFL:
- Biosensors-on-chip and biointerfaces:
- Biosensors-on-chip and biointerfaces target DNA and protein-based arrays, enabling precise and rapid detection of biomolecules for applications in diagnostics and personalized medicine.
- Ultra-sensitive spectroscopy and sensing technologies:
- Spectroscopic and sensing technologies enable real-time, label-free, and high-throughput analysis of biomolecules at very low concentrations, advancing early disease detection and monitoring.
- Nanophotonics:
- Our researchers use nanophotonics to develop on-chip optical communication devices, enhancing the performance and efficiency of medical diagnostics and imaging systems, with potential applications in minimally invasive procedures.
- Single-molecule biophysics:
- Biomolecular interactions at the single-molecule level provide critical insights into disease mechanisms and identifying potential therapeutic targets for precision medicine.
- Chemical biosensing platforms:
- Chemical biosensing platforms help translate novel tools from research laboratories directly to clinical settings, improving diagnostic accuracy and treatment efficacy in areas such as oncology and infectious diseases.
- Medical imaging and neurotechnology:
- Our researchers work on integrating medical imaging analysis, biomedical and implantable neurotechnology circuits, and neuromorphic and machine learning methods into sophisticated healthcare applications, including brain-machine interfaces and neuroprosthetics.
Health Science and Technology is a rapidly growing interdisciplinary field that combines engineering, biology, and data science to revolutionize healthcare. The research conducted in this domain directly addresses some of the world’s most pressing health challenges, including aging populations, chronic diseases, and the need for more personalized medicine. Advances in this field lead to the development of cutting-edge medical devices, diagnostic tools, and therapeutic solutions that improve patient outcomes and the efficiency of healthcare systems. In today’s world, these technologies are essential for driving innovation in areas like telemedicine, wearable health sensors, and bioengineering, allowing for real-time health monitoring and minimally invasive treatments.
Health science and technology play a critical role in advancing medical research and supporting Switzerland’s strong life sciences sector. The country has a globally renowned healthcare system and is home to numerous biotech and pharmaceutical companies. The research in health science and technology supports collaborations between academic institutions and industries, pushing the boundaries of personalized healthcare, biomedical devices, and artificial intelligence in medicine. EPFL’s close ties with Swiss hospitals and healthcare institutions also ensure that innovations move quickly from the lab to clinical applications, benefiting both local and international communities.
Representative Research topics
Developing advanced imaging techniques for early disease detection, such as real-time MRI and non-invasive optical imaging, to improve diagnostic accuracy.
Creating smart wearable devices that continuously monitor vital signs, allowing for early detection of health issues like cardiovascular diseases and diabetes.
Engineering artificial tissues and organs to address the growing demand for organ transplants and regenerative therapies for damaged tissues.
Designing prosthetics and interfaces that enhance human capabilities or restore lost functions for individuals with neurological disorders or disabilities.
Utilizing AI to analyze vast datasets from genetic, medical, and environmental factors to develop individualized treatments and drug therapies.