Data Science


Area Leader

Steren Cherert


Data Science is an emerging phenomenon where a large amount of data is captured and stored.

This area of ​​the center aims to develop the new methods of statistics, time series analysis and Machine Learning [Deep Learning] and dynamic systems to impact the development of algorithms capable of handling this diversity of data. For example, image segmentation algorithms and functional resonance analysis allow the location of important functional brain areas such as language and sensorimotor and can now be implemented in neurosurgical planning. The most important techniques provide neurosurgeons with detailed individualized knowledge about the anatomy and related neurological function to resect a brain tumor. The implementation of functional maps in neuronavigation systems allows the surgeon to superimpose anatomy and function to the surgical site.

What we are looking for in this center is to have a structure that is not focused on the disciplinary training of young professionals such as schools, but rather that is focused on the generation of knowledge, research and development of technologies applied to Health . We want to move from the current dynamics of having several individual researchers with specific projects, registered in their duration of some years, to have the possibility of combining science and technology researchers convened by the Health theme. In other words, the center will give us more possibility of lowering disciplinary barriers and separation between researchers derived from our current organization focused on undergraduate training. Two areas of growth are the new devices to compensate for the loss of sensorimotor and neuromodulation function. For example, repetitive visual, auditory and tactile stimulation influences perception, including, for example, pain. The stimulation at 10 Hz was shown to be analgesic. Our research affects the frequency of stimulation affects brain connectivity and behavior. External stimulation modulates brain processes and can be used as part of the stroke rehabilitation strategy, as well as to help with learning and memory processes.


Sub areas


Medical Imageneology


Artificial Intelligence in Health