Diagnostic discrimination of biological tissue samples using artificial intelligence

Research Topic
Abstract

Within the framework of this practicum within the Biomedical Engineering research group at the University of Cantabria, students will be able to be integrated into research activities developed by the group, particularly those related to diagnostic discrimination systems for biological tissues using artificial intelligence techniques. Current clinical diagnosis presents discriminative difficulties, especially with low-contrast biological tissues. By using electromagnetic radiation, it is possible to obtain relevant diagnostic information, even in low-contrast biological tissues. Parameters based on intrinsic information such as intensity, spectral, polarimetric, or phase give rise to novel diagnostic systems when combined with artificial intelligence elements.

Keywords
Biomedical Engineering
diagnostic discrimination
label-free diagnosis
artificial intelligence
biomedical media
ERC sector(s)
PE Physical Sciences and Engineering
Host Researcher Info
Name Surname
Félix Fanjul Vélez
E-mail
eunice@unican.es
Department/Faculty/School/Institute/Area/Division
Department of Electronic Technology, Systems and Automation Engineering (TEISA)
EUNICE University
University of Cantabria (UC)
Country
Spain
EUNICE contact e-mail
area.eunice@unican.es
Mobility additional info
Length of the research internship
3 months
Financial support available (other than E+)
No
Applicant (Student) info
Current position at home university
Master student
Minimal language knowledge requisite
English B2
Research interests for cooperation opportunities
Electromagnetic, electropysiological and acoustic techniques for biomedical media diagnosis, structural and molecular characterization, treatment and surgery, including endoscopes