Beyond the lab: PhDIBINEM - Unibo
Oct 14, 2026 · 20 min · 12 segments
What if we could read the brain, modulate its activity, and even generate new brain images with artificial intelligence? In this episode, we explore how emerging technologies are reshaping brain…
So all these advances from imaging to molecular biology ultimately converge in one goal: improving how we treat patients.
And this is where surgery plays a crucial role.
And this is where my PhD project actually comes in.
So as a neurosurgeon, I will explore the evolution of cranial neurosurgery from fully endoscopic techniques that we are actually improving to robotic minimally invasive approaches.
Today, in fact, we can reach actually deep and complex regions of the brain through keyhole corridors, minimizing surgical trauma.
But these approaches are still not fully standardized, and their potential remains largely untapped.
At the same time, robotics is opening a new frontier.
It's always so developed also in other surgeries, and it allows us to enhance precision, scale down movements beyond human limits, and potentially integrate real-time imaging, artificial intelligence, and advanced visualization, just thinking about all the free range movements that a robotic arm has.
So the goal of my project is to create a translational platform where anatomy, technology, and surgical training actually converge together.
From cadaveric dissections and 3D models to an artificial intelligence drive and trajectory analysis and augmented and virtual reality simulation, we would like to, uh, better understand and optimize, of course, uh, and later teach all these new approaches.
Ultimately, last but not least, this pathway leads to clinical translation, of course, bringing robotic minimally invasive techniques into actual real surgical practice.
Because in the end, behind every new surgical technique, there is anatomy, and behind every innovation, there is training.
So all these advances from imaging to molecular biology ultimately converge in one goal: improving how we treat patients.
And this is where surgery plays a crucial role.
And this is where my PhD project actually comes in.
So as a neurosurgeon, I will explore the evolution of cranial neurosurgery from fully endoscopic techniques that we are actually improving to robotic minimally invasive approaches.
Today, in fact, we can reach actually deep and complex regions of the brain through keyhole corridors, minimizing surgical trauma.
But these approaches are still not fully standardized, and their potential remains largely untapped.
At the same time, robotics is opening a new frontier.
It's always so developed also in other surgeries, and it allows us to enhance precision, scale down movements beyond human limits, and potentially integrate real-time imaging, artificial intelligence, and advanced visualization, just thinking about all the free range movements that a robotic arm has.
So the goal of my project is to create a translational platform where anatomy, technology, and surgical training actually converge together.
From cadaveric dissections and 3D models to an artificial intelligence drive and trajectory analysis and augmented and virtual reality simulation, we would like to, uh, better understand and optimize, of course, uh, and later teach all these new approaches.
Ultimately, last but not least, this pathway leads to clinical translation, of course, bringing robotic minimally invasive techniques into actual real surgical practice.
Because in the end, behind every new surgical technique, there is anatomy, and behind every innovation, there is training.
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