RESEARCH TOPICS

The thematic area focuses on advanced and highly specialized surgical approaches for the treatment of complex conditions, requiring technical expertise and in-depth knowledge in specific fields. It includes disciplines such as oncologic, plastic and reconstructive, vascular, and minimally invasive surgery, with a strong emphasis on technological innovation and the integration of tools such as robotics, laser techniques, and artificial intelligence.

The goal is to develop new diagnostic-therapeutic protocols, improve clinical outcomes, and reduce patient recovery times, while simultaneously promoting an interdisciplinary approach to address the most complex challenges in the medical-surgical field.

The synergy created between research and surgical activities aims to provide robust support for solving issues of medical care interest and fostering the development of future academic surgical leadership.

The research project will be defined in collaboration with the tutor.

The thematic area focuses on the implementation and development of advanced tools and methodologies to enhance surgical practices. It includes the use of technologies such as robotic surgery, augmented reality for preoperative planning and assisted navigation, advanced imaging systems, laser techniques, and artificial intelligence to support diagnosis, preoperative planning, and surgical interventions.

The goal is to optimize surgical precision, reduce invasiveness, and improve clinical outcomes through innovative solutions. This thematic area fosters close collaboration among surgeons, engineers, and scientists to develop and test technologies that redefine the standards of modern surgery.

The research project will be defined in collaboration with the tutor.

The thematic area aims to develop advanced approaches for the design, conduct, and analysis of clinical studies, promoting the integration between basic research and clinical applications.

It focuses on using cutting-edge methodologies, such as precision medicine, big data analysis, predictive models, and artificial intelligence, to accelerate the translation of research findings to patient care. The goal is to optimize therapy effectiveness, identify innovative biomarkers, and personalize treatment pathways, reducing the gap between science and clinical practice.

This thematic area fosters an interdisciplinary approach, synergizing clinical, biological, and technological expertise to enhance the quality of care and advance medical progress.

The research project will be defined in collaboration with the tutor.