Speaker: Linda Maldera
31 Marzo 2026 | 14:15
DEIB, Sala Seminari "A. Alario" (Ed. 21)
Per maggiori informazioni: Silvia Cascianelli | silvia.cascianelli@polimi.it
Sommario
Tuesday, March 31st, 2026 at 2:15 pm a new appointment of Data Science Seminars: Bioinformatics focus will take place in DEIB "Alessandra Alario" Seminar Room (Building 21) organized by the Data Science for Bioinformatics group.The seminar will be held by Linda Maldera, PHD Student in Information Technology, on the following subject: "Machine learning analysis of 2D grid data for investigating retinal inner plexiform layer changes in multiple sclerosis".
Multiple Sclerosis (MS) is a demyelinating disease of the central nervous system, classified into three distinct phenotypes: relapsing-remitting (RRMS), secondary progressive (SPMS) and primary progressive (PPMS). SPMS is diagnosed in more than half of RRMS patients when subtle disease progression independent of relapses occurrences. Early definition of SPMS in RRMS patients is still a challenge, as no reliable biomarkers are available in early stages of disease progression. Retinal neural tissue provides a unique window on MS progression as recent studies have showed that the inner plexiform layer (IPL) is thinner in people with MS with respect to healthy controls, and thinning of IPL characterizes patients with RRMS who progressed to SPMS. Data on IPL thickness can be easily obtainable through optical coherence tomography (OCT), however, there are no available tools or pipelines to analyze OCT data in a longitudinal manner. In this seminar we will illustrate the RePlayMS study, from theorization to execution and its preliminary results, discussing open points and yet unanswered methodological aspects.