José Delpiano, an academic from the School of Engineering and Applied Sciences, is conducting research to develop non-invasive preventive tests together with academics from UANDES, UFRO and Northeastern University.
A great help for the non-invasive diagnosis of diseases that originate under the skin surface is being provided by the academic of the School of Engineering and Applied Sciences José Delpiano, through his research on the LENS: Light, eyes, and neural networks. "Early diagnosis of diseases in the various layers of the skin may require a cut to take a tissue sample. The creation of tests, with the support of Artificial Intelligence, that do not require the taking of a sample will be a major advance in this area."explained the academic UANDES.
The following researchers are participating in the project UANDES Nelly Cerpa, Jaime Anguita, Jaime Cisternas and José Saavedra, and UFRO researcher Fernando Huenupán. Professor Charles DiMarzio, specialist in biomedical optics, from Northeastern University (USA) will also collaborate.
This research has great relevance in our country, since in the last decade the deaths due to skin cancer in Chile have increased by 40%, reaching a record number in 2023 with more than 560 deaths, the highest in 21 years.
With this research we seek to estimate, with the support of Artificial Intelligence, microscopy images of inner layers of the skin. With this, in the future it will be possible to make preventive examinations of diseases that originate in these layers, without having to make a cut to take a sample.
Delpiano recently won -for this work- a grant of Promotion of ANID's International Linkageswhich promotes international alliances to publicize the development of research carried out in Chile and support the participation of scientists from our country in frontier research being developed in the world.
This project involves the following researchers UANDES Nelly Cerpa, Jaime Anguita, Jaime Cisternas and José Saavedra, and UFRO researcher Fernando Huenupán. Professor Charles DiMarzio, specialist in biomedical optics, from Northeastern University (USA) will also collaborate.
"With this research we seek to estimate, with the support of Artificial Intelligence, microscopy images of internal layers of the skin. With this, in the future it will be possible to make preventive examinations of diseases that originate in these layers, without having to make a cut to take a sample. AI is being used to estimate images in different fields, for example, it is used to make super-resolution, that is, to estimate a high-resolution image from a lower-resolution image. On the other hand, the superficial layers of the skin are not totally opaque, some light can enter, which allows measurements to be made and images to be formed. This has motivated us to advance along this line," explains Delpiano.
