June 13, 2021

The ULPGC obtains its first two patents in the US


Part of Cristina Carmona's writing app.  |  |

Part of Cristina Carmona’s writing app. | |
The province

The University of Las Palmas de Gran Canaria has obtained the recognition of two patents in the United States managed by the Technological Science Park of the ULPGC, through which two disruptive technologies developed by the institution’s research staff are protected: an application to detect tumor tissue in real time and another to locate deviations in learning through writing.

An application from Gustavo Marrero’s team detects tumor tissue. | | LP / DLP


The first of these two patents is the one that recognizes the work carried out by the team coordinated by Gustavo Marrero Callicó, PhD in Telecommunications Engineering from the ULPGC. These researchers have developed the System for the detection of brain tumors in real time using hyperexpectral imaging. The application, in a non-invasive way, is able to detect tumor tissue and distinguish it, in a matter of seconds on an operating table, from healthy tissue, helping, for example, neurosurgeons to remove the parts of the brain affected by cancer, something that is not visible to the naked eye.

In addition, surgeons will be able to remove almost exclusively the areas affected by the tumor without having to exceed the cut much beyond what is necessary, thus reducing the possible consequences that derive from brain operations.

The other patent also recognized in the United States is the one related to the application developed by Cristina Carmona Duarte, postdoctoral researcher, and Miguel Ángel Ferrer Ballester, professor at the ULPGC.

It is about the Method and system to generate handwritten text with different degrees of maturity of the writer, developed within the scope of the Institute for Technological Development and Innovation in Communications.

The researchers provide an application capable of modeling the process of writing degradation to monitor how children learn to write, how this ability is maintained in adulthood – and how possible deviations are recorded – and how it degrades in old age.

The model makes it possible to synthesize the learning process, both in the form and in the movement of the pencil, and to describe each of the stages of this capacity throughout the life of the human being, shedding light on possible degenerative processes such as the Parkinson’s, or detecting deviations early in childhood. The application can be worked from a simple digital device.

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