Наредни састанак Семинара биће одржан онлајн у среду, 6. децембра 2023. са почетком у 19 часова.
Предавач: Наташа Пржуљ, ICREA Research Professor, Barcelona Supercomputing Center, Life Sciences Department, ICONBI Group, Barcelona, Spain
Наслов предавања: AI FOR MULTI-OMICS DATA FUSION ENABLES PRECISION MEDICINE
Апстракт: 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 Parkinson’s 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.
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https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p
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https://miteam.mi.sanu.ac.rs/asset/4LNW8WtML7rLKojoz