Seminar za veštačku inteligenciju, 6. decembar 2023.

• 30. Novembar,  2023
• Komentari (0)

Naredni sastanak Seminara biće održan onlajn u sredu, 6. decembra 2023. sa početkom u 19 časova.
 
Predavač: Nataša Pržulj, ICREA Research Professor, Barcelona Supercomputing Center, Life Sciences Department, ICONBI Group, Barcelona, Spain
 
Naslov predavanja: AI FOR MULTI-OMICS DATA FUSION ENABLES PRECISION MEDICINE
 
Apstrakt:
We are flooded by increasing quantities of heterogeneous, interconnected, systems-level, molecular (multi-omic) data. They provide complementary information about cells, tissues and diseases. We need to utilize them to better stratify patients into risk groups, discover new biomarkers, and re-purpose known and discover new drugs to personalize medical treatment. This is nontrivial, because of computational intractability of many underlying problems, necessitating the development of algorithms for finding approximate solutions (heuristics).

We develop a versatile data fusion (integration) machine learning (ML) framework to address key challenges in precision medicine from these data: better stratification of patients, prediction of biomarkers, and re-purposing of approved drugs to particular patient groups, applied to cancer, Covid-19, rare thrombophilia and Parkinsonʼs Disease. Our new methods stem from graph-regularized non-negative matrix tri-factorization (NMTF), a machine learning technique for dimensionality reduction, inference and co-clustering of heterogeneous datasets, coupled with novel network science algorithms. We utilize our new methodologies for improving our understanding of the molecular organization of life and diseases from the multi-omics data and omics network embedding spaces.

Napomena: Registraciona forma za učešće na Seminaru je dostupna na linku:
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p

Ukoliko želite samo da pratite predavanje bez mogućnosti aktivnog učešća, prenos je dostupan na linku:
https://miteam.mi.sanu.ac.rs/asset/4LNW8WtML7rLKojoz

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